2024
Érdi, P.: Feedback: How to Destroy or Save the World, Springer 2024
Telcs, A., Kurbucz, M. T., & Jakovác, A. (2024). Unified Causality Analysis Based on the Degrees of Freedom. arXiv preprint arXiv:2410.19469. https://doi.org/10.48550/arXiv.2410.19469
Benkő, Z., Varga, B., Stippinger, M., & Somogyvári, Z. (2024). Detecting Causality in the Frequency Domain with Cross-Mapping Coherence. arXiv preprint arXiv:2407.20694. https://doi.org/10.48550/arXiv.2407.20694
Jakovác, A., Kurbucz, M. T., & Telcs, A. (2024). State space reconstruction of Markov chains via autocorrelation structure. Journal of Physics A: Mathematical and Theoretical. https://doi.org/10.1088/1751-8121/ad6224
Zsigmond Benkő, Ádám Zlatniczki, Marcell Stippinger, Dániel Fabó, András Sólyom, Loránd Erőss, András Telcs, Zoltán Somogyvári (2024). Bayesian inference of causal relations between dynamical systems, Chaos, Solitons & Fractals, Volume 185, 115142, https://doi.org/10.1016/j.chaos.2024.115142
Zlatniczki, A., & Telcs, A. (2024). Application of Portfolio Optimization to Achieve Persistent Time Series. Journal of Optimization Theory and Applications, 1-23. https://doi.org/10.1007/s10957-024-02426-1
Thurnherr, N., Burla, L., Metzler, J. M., File, B., & Imesch, P. (2024). Attitudes and perceptions of affected women towards endocrine endometriosis therapy: an international survey based on free-word association networks. Human Reproduction, 39(1), 83-92. doi: https://doi.org/10.1093/humrep/dead221
Biró, T. S., Telcs, A., & Jakovác, A. (2024). Analogies and Relations between Non-Additive Entropy Formulas and Gintropy. Entropy, 26(3), 185. https://doi.org/10.3390/e26030185
2023
File, D., Bőthe, B., File, B., Griffiths, M. D., & Demetrovics, Z. (2023). A Proof of Concept Study to Assess the Imbalance of Self-Reported Wanting and Liking as a Predictor of Problematic Addictive Behaviors. International Journal of Mental Health and Addiction, 1-19. https://doi.org/10.1007/s11469-023-01226-4
Stippinger, M., Bencze, A., Zlatniczki, Á., Somogyvári, Z., & Telcs, A. (2023). Causal Discovery of Stochastic Dynamical Systems: A Markov Chain Approach. Mathematics, 11(4), 852. https://doi.org/10.3390/math11040852
Hanczár, G., Stippinger, M., Hanák, D., Kurbucz, M. T., Törteli, O. M., Chripkó, Á., & Somogyvári, Z. (2023). Feature space reduction method for ultrahigh-dimensional, multiclass data: Random forest-based multiround screening (RFMS). Machine Learning: Science and Technology. https://doi.org/10.1088/2632-2153/ad020e
File, D., File, B., Bőthe, B., Griffiths, M. D., & Demetrovics, Z. (2023). Investigating mental representations of psychoactive substance use and other potentially addictive behaviors using a data driven network-based clustering method. Plos one, 18(10), e0287564. https://doi.org/10.1371/journal.pone.0287564
Gero, D., Müller, V., File, B., Bueter, M., Widmer, J., & Thalheimer, A. (2023). Attitudes of primary care physicians toward bariatric surgery: a free word association networks analysis. Surgery for Obesity and Related Diseases. https://doi.org/10.1016/j.soard.2023.05.015
Marcell Stippinger, Bálint Varga, Zsigmond Benkő, Dániel Fabó, Loránd Erőss, Zoltán Somogyvári, András Telcs (2023). CCDH: Complexity based Causal Discovery of Hidden common cause in time series, Chaos, Solitons & Fractals, Volume 176, 114054, ISSN 0960-0779, https://doi.org/10.1016/j.chaos.2023.114054.
Domokos Meszéna, Anna Barlay, Péter Boldog, Kristóf Furuglyás, Dorottya Cserpán, Lucia Wittner, István Ulbert, Zoltán Somogyvári (2023). Seeing beyond the spikes: Reconstructing the complete spatiotemporal membrane potential distribution from paired intra- and extracellular recordings, Journal of Physiology, https://doi.org/10.1113/JP283550, supporting videos: https://www.youtube.com/@somogyvarilab
Frick, L.D.*, Hankir, M. K.*, Borner, T.*, Malagola, E.*, File, B.*, & Gero, D. (2023). Novel Insights into the Physiology of Nutrient Sensing and Gut-Brain Communication in Surgical and Experimental Obesity Therapy. Obesity Surgery, 33(9), 2906-2916. https://doi.org/10.1007/s11695-023-06739-4 (*=authors contributed equally)
Bolló, H., File, B., Topál, J., & Kis, A. (2023). Side bias behaviour in dogs shows parallels to the hemispatial neglect syndrome. Applied Animal Behaviour Science, 263, 105921. https://doi.org/10.1016/j.applanim.2023.105921
Biró, T. S., Telcs, A., Józsa, M., & Néda, Z. (2023). Gintropic scaling of scientometric indexes. Physica A: Statistical Mechanics and its Applications, 618, 128717. https://doi.org/10.1016/j.physa.2023.128717
Hámori, G., File, B., Fiath, R., Paszthy, B., Réthelyi, J. M., Ulbert, I., & Bunford, N. (2023). Adolescent ADHD and electrophysiological reward responsiveness: A machine learning approach to evaluate classification accuracy and prognosis. Psychiatry Research, 323, 115139. https://doi.org/10.1016/j.psychres.2023.115139
Stippinger, M., Hanák, D., Kurbucz, M. T., Hanczár, G., Törteli, O. M., & Somogyvári, Z. (2023). BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space. SoftwareX, 22. doi: 10.1016/j.softx.2023.101366
Banász, Z., Kosztyán, Z. T., Csányi, V. V., & Telcs, A. (2023). University leagues alongside rankings. Quality & Quantity, 57(1), 721-736. doi: 10.1007/s11135-022-01374-0
Szalisznyo, K., & Silverstein, D. N. (2023). Computational insights on asymmetrical D1 and D2 receptor-mediated chunking: implications for OCD and Schizophrenia. Cognitive Neurodynamics, 1-16. doi: 10.1007/s11571-022-09865-4
Szalisznyó, K., & Silverstein, D. N. (2023). Why Does Tardive Dyskinesia Have Oro-facial Predominance? A Network Analysis. Brain Topography, 1-7. doi: 10.1007/s10548-022-00931-y
2022
Pedersen, T. S., Abramovic, I., Agostinetti, P., Torres, M. A., Äkäslompolo, S., Belloso, J. A., … Bencze, A., … & Grulke, O. (2022). Experimental confirmation of efficient island divertor operation and successful neoclassical transport optimization in Wendelstein 7-X. Nuclear Fusion, 62(4), 042022. doi: 10.1088/1741-4326/ac2cf5
Hron, M., Adamek, J., Cavalier, J., Dejarnac, R., Ficker, O., Grover, O., … Bencze, A., … & Zoletnik, S. (2022). Overview of the COMPASS results. Nuclear Fusion, 62(4), 042021. doi: 10.1088/1741-4326/ac301f
Gadár, L., Kosztyán, Z. T., Telcs, A., & Abonyi, J. (2022). Cooperation patterns in the ERASMUS student exchange network: an empirical study. Applied Network Science, 7(1), 1-31. doi: 10.1007/s41109-022-00512-9
Kosztyán, Z. T., Telcs, A., & Abonyi, J. (2022). A multi-block clustering algorithm for high dimensional binarized sparse data. Expert Systems with Applications, 191, 116219. doi: 10.1016/j.eswa.2021.116219
Morcillo I Soler P, Hidalgo C, Fekete Z, Zalanyi L, Khalil ISM, Yeste M, Magdanz V. Bundle formation of sperm: Influence of environmental factors. Front Endocrinol (Lausanne). 2022 Oct 10;13:957684. doi: 10.3389/fendo.2022.957684. PMID: 36299459; PMCID: PMC9591104.
P. Érdi, Zs. Szvetelszky: Repair: When and How to Improve Broken Objects, Ourselves, and Our Society, Springer 2022
Jakovác, A.; Telcs, A. A Note on Representational Understanding. Entropy 2022, 24, 1313. https://doi.org/10.3390/e24091313
Mir Y, Zalányi L, Pálfi E, Ashaber M, Roe AW, Friedman RM, Négyessy L. Modular Organization of Signal Transmission in Primate Somatosensory Cortex. Front Neuroanat. 2022 Jul 8;16:915238. doi: 10.3389/fnana.2022.915238. PMID: 35873660; PMCID: PMC9305200.
Serra, M.*, File, B.*, Alceste, D., Raguz, I., Gero, D., Thalheimer, A., … & Bueter, M. (2022). Burst-pause criterion derivation for drinkometer measurements of ingestive behavior. MethodsX, 101726. *(contributed equally)
Alceste, D., Serra, M., Raguz, I., Gero, D., Thalheimer, A., Widmer, J., B., File,… & Bueter, M. (2022). Association between microstructure of ingestive behavior and body weight loss in patients one year after Roux-en-Y gastric bypass. Physiology & Behavior, 248, 113728.
File, D., Bőthe, B., File, B., & Demetrovics, Z. (2022). The Role of Impulsivity and Reward Deficiency in” Liking” and” Wanting” of Potentially Problematic Behaviors and Substance Uses. Frontiers in Psychiatry, 13, 820836-820836.
Tamás Sándor Biró, András Telcs, Máté Józsa and Zoltán Néda: f-Gintropy: An Entropic Distance Ranking Based on the Gini Index. Entropy 24, 407. doi: 10.3390/e24030407
Hannu Reittu, Ilkka Norros and Fülöp Bazsó: On model selection for dense stochastic block models. Advances in Applied Probability 4(1): pp. 1-25. doi: 10.1017/apr.2021.29
Zsigmond Benkő, Tamás Bábel, Zoltán Somogyvári: Model-free detection of unique events in time series. Scientific Reports 12:227 (2022) doi:10.1038/s41598-021-03526-y.
Zsigmond Benkő, Marcell Stippinger, Roberta Rehus, Attila Bencze, Dániel Fabó, Boglárka Hajnal, Loránd Erőss, András Telcs, Zoltán Somogyvári: Manifold-adaptive dimension estimation revisited, PeerJ Computer Science:8:e790 https://doi.org/10.7717/peerj-cs.790.
| 2021 | |
| Ádám Zlatniczki, Marcell Stippinger, Zsigmond Benkő, Zoltán Somogyvári, András Telcs: Relaxation of Some Confusions about Confounders Entropy 23 (11), 1450, 2021 | (J) |
| Daniel Gero, Bálint File, Daniela Alceste, Lukas D. Frick, Michele Serra, Aiman E.M. Ismaeil, Robert E. Steinert, Alan C. Spector and Marco Bueter: Microstructural changes in human ingestive behavior after Roux-en-Y gastric bypass during liquid meals. JCI insights, Volume 6, Issue 15, 9 August 2021, https://doi.org/10.1172/jci.insight.136842. | (J) |
| Zsigmond Benkő, Zoltán Somogyvári: Reconstructing shared dynamics with a deep neural network, arXiv:2105.02322 . | (A) |
| Róbert Tóth, Albert Miklós Barth, Andor Domokos , Viktor Varga, Zoltán Somogyvári: Do not waste your electrodes – principles of optimal electrode geometry for spike sorting Journal of Neural Engineering doi: https://doi.org/10.1088/1741-2552/ac0f49 (2021) | (J) |
| Bálint Varga, Bettina Soós, Balázs Jákli, Eszter Bálint, Zoltán Somogyvári, László Négyessy: Network path convergence shapes low-level processing in the visual cortex Frontiers in Systems Neuroscience doi: 10.3389/fnsys.2021.645709 (2021) | (J) |
| Richárd Fiáth, Domokos Meszéna, Zoltán Somogyvári, Mihály Boda, Péter Barthó, Patrick Ruther & István Ulbert : Recording site placement on planar silicon-based probes affects signal quality in acute neuronal recordings Scientific Reports 11 Article number: 2028 (2021) | (J) |
| Emília Tóth, Virág Bokodi, Zoltán Somogyvári, Zsófia Maglóczky, Lucia Wittner, István Ulbert, Loránd Eross, Dániel Fabó: Laminar distribution of electrically evoked hippocampal short latency ripple activity highlights the importance of the subiculum in vivo in human epilepsy, an intraoperative study. Epilepsy Research, 106509 | (J) |
| Emese Pálfi, György Lévay, András Czurkó, Balázs Lendvai, Tamás Kiss: Acute blockade of NR2C/D subunit-containing NMDA receptors modifies sleep and neural oscillations in mice. Journal of Sleep Research, 2020 Dec 13;e13257 | (J) |
| 2020 | |
| Zsigmond Benkő, Marcell Stippinger, Roberta Rehus, Attila Bencze, Dániel Fabó, Boglárka Hajnal, Loránd Erőss, András Telcs, Zoltán Somogyvári: Manifold-adaptive dimension estimation revisited ,arXiv:2008.03221 . | (A) |
| Tóth, B., Boncz, Á., File, B., Winkler, I., & Molnár, M. A humán agyi aktivitás hálózatelemzési modellezése–Humán agyi hálózatok. Scientia et Securitas, 1(1), 21-28. | (Jh) |
| F Z Fedor, C Paraczky, · L Ravasz, · K Tóth, Borhegyi, Z Somogyvári, G Juhász, Z Fekete: Electrophysiological and behavioral properties of 4‑aminopyridine‑induced epileptic activity in mice Biologia Futura, https://doi.org/10.1007/s42977-020-00047-z | (J) |
| Kozak R, Kiss T, Dlugolensi K, Johnson D, Gorczyca RR, Kuszpit K, Harvey B, Stolyar P, Sukoff Rizzo SJ, Hoffmann W, Volfson D, Hajós M, Davoren J, Abbott AL, Williams GV, Castner SA, Gray D. Characterization of PF-6142, a Novel, Non-Catecholamine Dopamine Receptor D1 Agonist, in Murine and Nonhuman Primate Models of Dopaminergic Activation. In: Nosheen Akhtar, editor. Updates in Pharmacology. ISBN: 978-93-90014-03-3. Hyderabad, India: Vide Leaf. 2020. | (Ch) |
| Flóra Z Fedor, Anita Zátonyi, Dorottya Cserpán, Zoltán Somogyvári, Zsolt Borhegyi, Gábor Juhász, Zoltán Fekete: Application of a flexible polymer microECoG array to map functional coherence in schizophrenia model Methods X, 101117 | (J) |
| Tamás Kiss, Stephen Morairty, Michael Schwartz, Thomas S. Kilduff, Derek L. Buhl, and Dmitri Volfson: Automated Sleep Stage Scoring Using k-Nearest Neighbors Classifier. Journal of Open Source Software, 5(53), 2377 | (J) |
| Bálint File, Tibor Nánási, Emília Tóth, Virág Bokodi, Brigitta Tóth, Boglárka Hajnal, Zsófia Kardos, László Entz, Loránd Erőss, István Ulbert and Dániel Fabó: Reorganization of Large-Scale Functional Networks During Low-Frequency Electrical Stimulation of the Cortical Surface International Journal of Neural Systems VOL. 30, NO. 03 | (J) |
| Ashaber, M., Zalányi, L., Pálfi, E., Stuber, I., Kovács, T., Roe, A. W., Friedman, R. M., & Négyessy, L.: Synaptic organization of cortico-cortical communication in primates. The European journal of neuroscience, Advance online publication, 2020, DOI: 10.1111/ejn.14905, PUBMED | (J) |
| Rouba Kozak, Tamás Kiss, Keith Dlugolenski, David E Johnson, Roxanne R Gorczyca, Kyle Kuszpit, Brian D Harvey, Polina Stolyar, Stacey Sukoff Rizzo, William E Hoffmann, Dmitri Volfson, Mihály Hajós, Jennifer E Davoren, Amanda L Abbott, Graham V Williams, Stacy A Castner and David L Gray: Characterization of PF-6142, a novel, non-catecholamine dopamine receptor D1 agonist, in murine and nonhuman primate models of dopaminergic activation. Frontiers in Pharmacology | Neuropharmacology, DOI: 10.3389/fphar.2020.01005 | (J) |
| Daniel Gero, Bálint File, Noreen Hinrichs, Matteo Mueller, István Ulbert, Zoltán Somogyvári, Marco Bueter: Mental and emotional representations of “weight loss”: free-word association networks in members of bariatric surgery-related social media communities, Surgery for Obesity and Related Issues, DOI:https://doi.org/10.1016/j.soard.2020.05.032 . | (J) |
| Zsigmond Benkő, Tamás Bábel, Zoltán Somogyvári: How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series arxiv:/2004.11468 . | (A) |
| 2019 | |
| P. Erdi: RANKING: The Unwritten Rules of the Social Game We All Play, Oxford University Press, 2019. | |
| Zsigmond Benkő, Kinga Moldován, Katalin Szádeczky-Kardoss, László Zalányi, Sándor Borbély, Ildikó Világi, Zoltán Somogyvári: Causal relationship between local field potential and intrinsic optical signal in epileptiform activity in vitro Scientific Reports 9 Article number: 5171 (2019) | (J) |
| Hannu Reittu, Ilkka Norros, Tomi Räty, Marianna Bolla and Fülöp Bazsó : Regular decomposition of large graphs: foundation of a sampling approach to stochastic block model fitting. Data Science and Engineering 4 (1): pp. 44-60, 2019. https://doi.org/10.1007/s41019-019-0084-x | (J) |
| Daniel Gero, Balint File, Jörn Justiz, Robert E. Steinert, Lukas Frick, Alan C. Spectore, Marco Bueter: Drinking microstructure in humans: A proof of concept study of a novel drinkometer in healthy adults. Appetite, Volume 133, 1 February 2019, Pages 47-60, online 1 September, 2018, https://doi.org/10.1016/j.appet.2018.08.012 | (J) |
| Bálint File, Zsolt Keczer, Anna Vancsó, Beáta Bőthe, István Tóth-Király, Márton Hunyadi, Adrienn Ujhelyi, István Ulbert, Júlia Góth, Gábor Orosz: Emergence of polarized opinions from free association networks Behavior Research Methods February 2019, Volume 51, Issue 1, pp 280–294, https://doi.org/10.3758/s13428-018-1090-z | (J) |
| Géza B. Selmeczy, András Abonyi, Lothar Krienitz, Peter Kasprzak, Peter Casper, András Telcs, Zoltán Somogyvári, Judit Padisák: Old sins have long shadows: Climate change weakens efficiency of trophic coupling of phyto- and zooplankton in a deep oligo-mesotrophic lowland lake (Stechlin, Germany) – a causality analysis. Hydrobiologia 2019 v.831 no.1 pp. 101-117 DOI : 10.1007/s10750-018-3793 | (J) |
| 2018 | |
| Zsigmond Benkő, Ádám Zlatniczki, Marcell Stippinger, Dániel Fabó, András Sólyom, Loránd Erőss, András Telcs, Zoltán Somogyvári: Complete Inference of Causal Relations between Dynamical Systems, arxiv:/1808.10806 . | (A) |
| Orsolya Kántor, Gergely Szarka, Zsigmond Benkő, Zoltan Somogyvari, Emese Pálfi, Gábor Baksa, Gergely Rácz, Roland Nitschke, Gábor Debertin, Bela Volgy: Strategic Positioning of Connexin36 Gap Junctions Across Human Retinal Ganglion Cell Dendritic Arbors Frontiers in Cellular Neuroscience ID: 410573 | (J) |
| Zátonyi A, Borhegyi Z, Cserpán D , Somogyvári Z , Srivastava M ,Kisvárday Z and Fekete Z : Functional brain mapping using optical imaging of intrinsic signals and simultaneous high-resolution cortical electrophysiology with a flexible, transparent microelectrode array Sensors & Actuators: B. Chemical 273 (2018) 519–526 | (J) |
| Pálfi E, Zalányi L, Ashaber M, Palmer C, Kántor O, Roe AW, Friedman RM, Négyessy L.: Connectivity of neuronal populations within and between areas of primate somatosensory cortex. Brain Struct Funct. 2018 Jul;223(6):2949-2971. Epub 2018 May 3. doi:10.1007/s00429-018-1671-8. | (J) |
| 2017 | |
| Cserpán D, Mészena D, Wittner L, Tóth K, Ulbert I, Somogyvári Z, Wójcik D: Revealing the Distribution of Transmembrane Currents along the Dendritic Tree of a Neuron with Known Morphology from Extracellular Recordings. eLife 2017;6:e29384 doi: 10.7554/eLife.29384 | (J) |
| Zátonyi A, Borhegyi Z, Cserpán D , Somogyvári Z , Srivastava M ,Kisvárday Z and Fekete Z : Optical Imaging of Intrinsic Neural Signals and Simultaneous MicroECoG Recording Using Polyimide Implants, Proceedings 2017, 1, 610; doi:10.3390/proceedings1040610 | (J) |
| Matsuzawa T, Zalányi L, Kiss T and Érdi P : Multi-scale modeling of altered synaptic plasticity related to Amyloid beta effects Neural Networks, 93 DOI10.1016/j.neunet.2017.06.002 | (J) |
| Somogyvári Z and Érdi P: From phase transitions to the topological renaissance: Comment on “Topdynamics of Metastable Brains” by Arturo Tozzi et al.> Physics of Life Reviews http://dx.doi.org/10.1016/j.plrev.2017.05.005 | (J) |
| Érdi P, Matsuzawa T, John T, Kiss T and Zalányi L: Connecting Epilepsy and Alzheimer’s Disease: Modeling of Normal and Pathological Rhythmicity and Synaptic Plasticity Related to Amyloidβ (Aβ) Effects. In: Érdi P, Bhattacharya BS and Cochran Al (Eds.): Computational Neurology and Psychiatry (Springer Series in Bio-/Neuroinformatics) 1st ed. 2017 Edition, pp 93-119. Springer. | (Ch) |
| Érdi P, Bhattacharya BS and Cochran Al (Eds.): Computational Neurology and Psychiatry (Springer Series in Bio-/Neuroinformatics) 1st ed. 2017 Edition, Springer. | (B) |
| Zsigmond Benkő, Dániel Fabó, Zoltán Somogyvári: Time series and interactions: Data processing in Epilepsy research. Comoputational Neurology – Computational Psychiatry: Why and How. Eds: Péter Érdi, Basabdatta Sen Bhattacharya, Amy Cochran, Computational Neurology and Psychiatry (Springer Series in Bio-/Neuroinformatics) 1st ed. 2017 Edition, Springer. | (Ch) |
| Wadhwa RR, Zalányi L, Szente J, Négyessy L, Érdi P: Stochastic kinetics of the circular gene hypothesis: feedback effects and protein fluctuations. Mathematics and Computers in Simulation. 117: p. AiP. 133: pp. 326-336. | (J) |
| István Kecskés, Ervin Burkus, Fülöp Bazsó and Péter Odry: Model validation of a hexapod walker robot. Robotica. / Volume 35 / Issue 2 / pp. 419-462, February 2017 DOI: http://dx.doi.org/10.1017/S0263574715000673 | (J) |
| 2016 | |
| Bruck P, Réthy I, Szente J, Tobochnik J and Érdi P Recognition of Emerging Technology Trends. Class-selective study of citations in the U.S. Patent Citation Network Scientometrics 107(1465-1475)2016 | (J) |
| Kamalaldin K, Salome A and Érdi P Modeling Ebola. Science Progress 99(200-219) | (J) |
| Zs. J. Viharos, D. Chetverikov, A. Háry, R. Sághegyi, A. Barta, L. Zalányi, I. Pomozi, Sz. Soós, Zs. Kövér, B. Varjú Vision based, statistical learning system for fault recognition in industrial assembly environment IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA), Berlin, 2016, pp. 1-6. doi: 10.1109/ETFA.2016.7733730 | (P) |
| Somogyvári Zoltán, Zalányi László: Biofizika, Lélekenciklopédia II. 355-374. Szerk: Székely Attila. Gondolat. | (ChH) |
| Fekete Z, Pálfi E, Márton G, Handbauer M, Bérces Zs, Ulbert I, Pongrácz A, Négyessy L Combined in vivo recording of neural signals and iontophoretic injection of pathway tracers using a hollow silicon microelectrode SENSORS AND ACTUATORS B-CHEMICAL 236: pp. 815-824. | (J) |
| Pálfi E, Ashaber M, Palmer C, Friedman RM, Roe AW, Négyessy L Neuronal connections within the hand representation in areas 3b and 1 of the somatosensory cortex in primates ˇ”Neuronalis összeköttetések a szomatoszenzoros kérgi área 3b és área 1 kézreprezentációs területén foemlosökben” ORVOSI HETILAP 157:(33) pp. 1320-1325. | (JH) |
| Somogyvári Z and Érdi P: Forward and Backward Modeling: From Single Cells to Neural Population and Back. In: Cognitive Phase Transitions in the Cerebral Cortex – Enhancing the Neuron Doctrine by Modeling Neural Fields. Eds:Robert Kozma and Walter J. Freeman, in Series: Studies in Systems, Decision and Control, Springer. | (Ch) |
| Bálint File, Zoltán Klimaj, Zoltán Somogyvári, Lajos R Kozák, Gyula Gyebnár, Brigitta Tóth, Zsófia Kardos, István Ulbert, Márk Molnár: Age-related changes of the representative modular structure in the brain IEEE International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2016 DOI: 10.1109/PRNI.2016.7552346 | (P) |
| Kántor O, Mezey S, Adeghate J, Naumann A, Nitschke R, Énzsöly A, Szabó A, Lukáts Á, Németh J, Somogyvári Z, Völgyi B.: Calcium buffer proteins are specific markers of human retinal neurons. Cell Tissue Res. 2016 Jul;365(1):29-50. doi: 10.1007/s00441-016-2376-z. Epub 2016 Feb 22. | (J) |
| Scott L, Kiss T, Kawabe TT, Hajós M: Neuronal network activity in the hippocampus of tau transgenic (Tg4510) mice. Neurobiology of Aging.2016 Jan;37:66-73. | (J) |
| 2015 | |
| Ujfalussy B, Makara J, Branco T, Lengyel M : Dendritic nonlinearities are tuned for efficient spike-based computations in cortical circuits eLIFE 2015;10.7554/eLife.10056 | |
| Fekete Z, Pálfi E, Márton G, Handbauer M, Bérces Zs, Ulbert I, Pongrácz A, Négyessy L.: In Vivo Iontophoretic BDA Injection through a Buried Microfluidic Channel of a Neural Multielectrode. PROCEDIA ENGINEERING 120: pp. 464-467. | |
| Kapitány K, Négyessy L, Fonta C, Mokso R, Barsi Á, Szepessy Z: Automatic reconstruction of brain’s micro-vascular network based on x-ray synchrotron tomography. BIOMECHANICA HUNGARICA 8:(1) p. &. 8 p. (2015) | |
| Kántor O, Cserpán D, Völgyi B, Lukáts A, Somogyvári Z: The Retinal TNAP. Subcell Biochem. 76:107-123. | (J) |
| Négyessy L, Györffy B, Hanics J, Bányai M, Fonta C, Bazsó F: Signal Transduction Pathways of TNAP: Molecular Network Analyses. Subcell Biochem. 76:185-205. | (J) |
| Fonta C, Barone P, Martinez LR, Négyessy L: Rediscovering TNAP in the Brain: A Major Role in Regulating the Function and Development of the Cerebral Cortex. Subcell Biochem. 76:85-106. | (J) |
| Fonta C, Négyessy L: Neuronal Tissue-Nonspecific Alkaline Phosphatase (TNAP). Subcellular Biochemistry 76. Springer Netherlands, Dordrecht | (B) |
| Kántor O, Benkő Z, Énzsöly A, Dávid C, Naumann A, Nitschke R, Szabó A, Pálfi E, Orbán J, Nyitrai M, Németh J, Szél Á, Lukáts Á, Völgyi B: Characterization of Connexin36 Gap Junctions in the Human Outer Retina. Brain Structure and Function | (J) |
| Kántor O, Varga A, Tóth R, Énzsöly A, Pálfi E, Kovács-Öller T, Nitschke R, Szél Á, Völgyi B, Négyessy L, Somogyvári Z, Lukáts Á. The stratified organization and disorganization of the inner plexiform layer revealed by TNAP activity in healthy and diabetic rat retina. Cell Tissue Res., 2015 Feb;359(2):409-21. doi: 10.1007/s00441-014-2047-x. | (J) |
| 2014 | |
| Érdi P and Bányai M Introduction to Cognitive Systems. In:Handbook on Computational Intelligence. Ed. Angelov, World Scientific (in press). | (Ch) |
Érdi P. Lente G. Stochastic Chemical Kinetics – Theory and (Mostly) Systems Biological Applications Springer Series in Synergetics  | (M) |
| Kántor O, Varga A, Kovács-Öller T, Enzsöly A, Balogh L, Baksa G, Szepessy Z, Fonta C, Roe AW, Nitschke R, Szél A, Négyessy L, Völgyi B, Lukáts A. TNAP activity is localized at critical sites of retinal neurotransmission across various vertebrate species. Cell Tissue Res. , Oct; 358(1):85-98. doi:10.1007/s00441-014-1944-3. | (J) |
| Hannu Reittu, Fülöp Bazsó and Robert Weiss Regular Decomposition of Multivariate Time Series and Other Matrices, Structural, Syntactic, and Statistical Pattern Recognition, Lecture Notes in Computer Science , Volume 8621, 2014, pp 424-433 | (PB) |
| Gershenson C, Csermely P, Érdi P, Knyazeva H and Lászlo L The Past, Present and Future of Cybernetics and Systems Research, Systema, 1(3), pp. 4-13. | (J) |
| John T, Kiss T, Lever C and Érdi P Anxiolytic Drugs and Altered Hippocampal Theta Rhythms: The Quantitative Systems Pharmacological Approach, Network: Computation in Neural Systems, March–June, Vol. 25, No. 1-2 , Pages 20-37. | (J) |
| Jones BD, Zalányi L and Érdi P An Integrated Theory of Budgetary Politics and Some Empirical Tests: The US National Budget, 1791-2010, American Journal of Political Science, pp 1-18. DOI: 10.1111/ajps.12088 | (J) |
| Berényi A, Somogyvári Z, Nagy A, Roux L, Long J, Fujisawa S, Stark E, Leonardo A, Harris T and Buzsáki Gy Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals. Journal of Neurophysiology, 1 March, Vol. 111, no.5 1132-1149, doi:10.1152/jn.00785.2013 | (J) |
| Ashaber M, Pálfi E, Friedman RM, Palmer C, Jákli B, Chen LM, Kántor O, Roe AW, Négyessy L. Connectivity of somatosensory cortical area 1 form an anatomical substrate for the emergence of multifinger receptive fields and complex feature selectivity in the squirrel monkey (Saimiri sciureus). J Comp Neurol, (in press) PDF | (J) |
| Borbély S, Körössy Cs, Somogyvári Z, Világi I The in vitro intrinsic optical imaging can be used for source determination in cortical slices, European Journal of Neuroscience,39:(1) pp. 72-82 | (J) |
| 2013 | |
| Z Wang, L M Chen, L Négyessy, R M Friedman, A Mishra, J C Gore, A W Roe The Relationship of Anatomical and Functional Connectivity to Resting-State Connectivity in Primate Somatosensory Cortex. Neuron, 78(6):1116-1126, 2013. A commentary about this paper by Olaf Sporns and Christopher Honey. | (J) |
| Kapitány K, Négyessy L, Barsi Á. Tomographic reconstruction of micro-vascular network in cerebral cortical samples. V. Magyar Biomechanika Konferencia, 2013 május 24-25. Budapest. | (P) |
| Érdi P, Makovi K, Somogyvári Z, Strandburg K, Tobochnik J, Volf P, Zalányi L Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network, Scientometrics, April 2013, Volume 95, Issue 1, pp 225-242 , 2012 doi: 10.1007/s11192-012-0796-4. An article about this paper in New Scientist. | (J) |
| L Négyessy, E Pálfi, M Ashaber, C Palmer, B Jákli, R M Friedman, L M Chen, A W Roe Intrinsic horizontal connections process global tactile features in the primary somatosensory cortex: Neuroanatomical evidence. Journal of Comparative Neurology, accepted for publication, 2013. doi:10.1002/cne.23317 | (J) |
| X Descombes, G Malandain, C Fonta, L Négyessy, R Mosko Automatic dendrite spines detection from X-ray tomography volumes. IEEE ISBI, accepted for publication, 2013. | (J) |
| 2012 | |
| Bányai M Az agyműködés hálózatai (Functional networks of the brain, in hungarian), Természet Világa 143(11):505-507, 2012. | (JH) |
| G Mijatovic, T Loncar-Turukalo, L Négyessy, F Bazsó, E Procyk, L Zalányi, J Minich, D Bajic Explicit Markov counting model of inter-spike interval time series, 10th International Symposium on Intelligent Systems and Informatics, 20-22 September 2012, Subotica, Serbia. doi: 10.1109/SISY.2012.6339535 | (P) |
| T Loncar-Turukalo, L Négyessy, E Procyk, D Bajic Multifractal detrended fluctuation analysis and local scale exponents of inter spike intervals, 10th International Symposium on Intelligent Systems and Informatics, 20-22 September 2012, Subotica, Serbia. doi: 10.1109/SISY.2012.6339577 | (P) |
| L Négyessy, J Minich, D Meszéna, A Buzás, B Jákli, M Bányai, E Procyk, P Barone and F Bazsó From neuronal communication to the flow of information in the cerebral cortex, 9th Conference Digital Speech and Image Processing, 4-7 October 2012, Kovacica, Serbia | (P) |
| D Lendvai, M Morawski, L Négyessy, G Gáti, G Baksa, T Glasz, J Attems, C Jager, H Tanila, T Arendt, T Harkány, A Alpár Neurochemical mapping of the human hippocampus reveals perisynaptic matrix around functional synapses in Alzheimer’s disease, Acta Neuropathologica, 2012. (accepted) doi:10.1007/s00401-012-1042-0 | (J) |
| Somogyvári Z, Cserpán D, Ulbert I, Érdi P Localization of single cell current sources based on extracellular potentials patterns: the spike CSD method, European Journal of Neuroscience, Volume 36, Issue 10, pages 3299–3313, November 2012. Also see the cover page January 2013 Volume 37, Issue 1 | (J) |
| Hanics J, Barna J, Xiao J, Millán JL, Fonta C, Négyessy L. Ablation of TNAP function compromises myelination and synaptogenesis in the mouse brain.Cell Tissue Res., accepted for publication, 2012. | (J) |
| Négyessy, L, Bányai, M, Bazsó F What makes the prefrontal cortex so appealing in the era of brain imaging? A network analytical perspective. ACTA BIOLOGICA HUNGARICA, 63(S1):38-53, 2012. doi:10.1556/ABiol.63.2012.Suppl.1.5 | (J) |
| Bozanić N, Lončar Turukalo T, Négyessy L, Bazsó F, Procyk E, Bajić D , REMOVAL OF ACTION POTENTIAL INFLUENCE ON LOCAL FIELD POTENTIALS USING EMPIRICAL MODE DECOMPOSITION, 7th International Workshop on Biosignal Interpretation, 2-4 July 2012, Como, Italy | (P) |
| 2011 | |
| Somogyvári Z, Cserpán D, Ulbert I, Érdi P Micro-Electric Imaging: Inverse Solution for Localization of Single Neuron Currents Based on Extracellular Potential Measurements Science Beyond Fiction, FET’11 The European Future Technologies Conference and Exibition, Procedia Computer Science, Volume 7, Pages 348-350, 2011 | (PJ) |
| Lončar-Turukalo T, Minich J, Bányai M, Bazsó F, Odry P, Négyessy L, Bajić D On Ramp Statisics in ISI Time Series 5th European Conference of the International Federation for Medical and Biological Engineering, Budapest, 14-18 September, 2011 | (P) |
| Bányai M, Ujfalussy B, Diwadkar V and Érdi P Impairments in the prefronto-hippocampal interactions explain associative learning deficit in schizophrenia. BMC Neuroscience 12(Suppl 1):93, 2011. doi:10.1186/1471-2202-12-S1-P93 | (P) |
| Érdi P, Bányai M, Ujfalussy B, Diwadkar V. The schizophrenic brain: A broken hermeneutic circle. Some new insights and results. The 2011 International Joint Conference on Neural Networks (IJCNN), 2011. San José, CA, USA 3024 – 3027, 2011. doi:10.1109/IJCNN.2011.6033619 | (P) |
| Ujfalussy B, Lengyel M Active dendrites: adaptation to spike-based communication Advances in Neural Information Processing Systems (accepted) | (P) |
| Érdi P. review on Cutsuridis et al. (eds): Perception–action cycle. Models, architectures, and hardware Cognitive Neurodynamics (in press) | (J) |
| Bányai M, Diwadkar V, Érdi P. Model-based dynamical analysis of functional disconnection in schizophrenia. NeuroImage 58(3): 870-877, 2011. doi:10.1016/j.neuroimage.2011.06.046 | (J) |
| Bányai, M., Négyessy, L., Bazsó F., Organisation of signal flow in directed networks. Journal of Statistical Mechanics: theory and experiment, P06001, 2011. doi: 10.1088/1742-5468/2011/06/P06001 | (J) |
| Berkes P, Orbán G, Lengyel M, Fiser J. Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment. Science, 331(6013) 83-87 | (J) |
| Érdi P. Towards a Post-Keplerian social science: Comments by P. Érdi on the Visioneer white papers by D. Helbing and S. Balietti European Physical Journal, Special Topics, 195:147-151, 2011. | (J) |
| 2010 | |
| Dollé, L.; Sheynikhovich, D.; Girard, B.; Ujfalussy, B.; Chavarriaga, R. and Guillot, A. Analyzing interactions between cue-guided and place-based navigation with a computational model of action selection: Influence of sensory cues and training. Meyer, J.-A; et al. (Eds.) LNAI – Simulation of Adaptive Behavior 6226, 335-346, Springer-Verlag | (P) |
| Zoltan Pap, István Kecskés, Ervin Burkus, F. Bazsó, Péter Odry Optimization of the Hexapod Robot Walking by Genetic Algorithm, 8-th IEEE International Symposium on Intelligent Systems and Informatics. SISY 2010. September 10-11, 2010, Subotica, Serbia. | (P) |
| B. Ujfalussy. Idegsejtek Biofizikája Természet Világa 141(9): 417-18; 141(10): 466-68 | (JH) |
| P. Érdi. Scope and Limits of Predictions by Social Dynamic Models: Crisis, Innovation, Decision Making. Evolutionary and Institutional Economics Review, 7(1): 21-42 | (J) |
| CD Gore, M Bányai, PM Gray, V Diwadkar, P Érdi. Pathological Effects of Cortical Architecture on Working Memory in Schizophrenia. Pharmacopsychiatry 43(Suppl 1)592-597 | (J) |
| J. Fiser, P. Berkes, G. Orbán, M. Lengyel. Statistically optimal perception and learning: from behavior to neural representations. Trends in Cognitive Sciences, 14(3) 119-130 | (J) |
| P. Érdi, T. Kiss and B. Ujfalussy. Multi-level Models. in Hippocampal Microcircuits., eds.: V. Cutsuridis; B. Graham; S. Cobb; I. Vida. Springer-Verlag pp. 527-554 | (Ch) |
| 2009 | |
| Vilagi I, Borbely S, Korossy Cs, Somogyvari Z Cortical Region and Layer Specific Activation During Epileptiform Seizure EPILEPSIA 2009, 50:83-84 | (J) |
| Huhn Z, Szirtes G, Lorincz A, Csépe V. Perception based method for the investigation of audiovisual integration of speech. Neurosci Lett. 2009 Nov 20;465(3):204-9. Epub 2009 Sep 3. | (J) |
| Jones BD, Zalányi L, Baumgartner F and Érdi P Dynamic Threshold Modeling of Budget Changes. Proc. AAAI Fall Symp.; Complex Adaptive Systems and the Threshold Effect: Views from the Natural and Social Sciences, AAA Press, pp. 61-66. | (P) |
| Drutchas G and Érdi P Dynamics of Price Sensitivity and Market Structure in an Evolutionary Economic Matching Model. In Proc. AAAI Fall Symp.; Complex Adaptive Systems and the Threshold Effect: Views from the Natural and Social Sciences, AAA Press, pp 39-46. | (P) |
| M. Bányai, T. Nepusz, L. Négyessy, F. Bazsó Convergence properties of some random networks, 7-th International Symposium on Intelligent Systems and Informatics 241-245, DOI: 10.1109/SISY.2009.5291157 , 2009. SISY 2009. Subotica, Serbia. | (P) |
| P. Érdi, B. Ujfalussy, V. Diwadkar: The schizophrenic brain: A broken hermeneutic circle Neural Network World 19(5):413-427 | (J) |
| B. Ujfalussy, T Kiss, P. Érdi: Parallel Computational Subunits in Dentate Granule Cells Generate Multiple Place Fields PLoS Comput Biol 5(9):e1000500. | (J) |
| Prosperi MC, Altmann A, Rosen-Zvi M, Aharoni E, Borgulya G, Bazso F, Sànnerborg A, Schülter E, Struck D, Ulivi G, Vandamme AM, Vercauteren J, Zazzi M; EuResist and Virolab study groups: Investigation of expert rule bases, logistic regression, and non-linear machine learning techniques for predicting response to antiretroviral treatment Antiviral Therapy 14(3):433-42. | (J) |
| Zsófia Huhn, Zoltán Somogyvári, Tamás Kiss, Péter Érdi: Distance Coding Strategies based on the Entorhinal Grid Cell System Neural Networks 22(5-6): 536-543 | (J) |
| K J. Strandburg, G Csardi, J Tobochnik, P Érdi, and L Zalanyi Patent citation networks revisited: signs of a twenty-first century change? North Carolina Law Review 87(5):1657-1698 | (J) |
| D. Samu, P. Erős, B. Ujfalussy, T Kiss: Robust path integration in the entorhinal grid cell system with hippocampal feed-back. Biological Cybernetics 101(1):19-34 | (J) |
| C. Fox, M. Humphries, B. Mitchinson, T. Kiss, Z. Somogyvári, T. Prescott: Technical integration of hippocampus, basal ganglia and physical models for spatial navigation. Frontiers in Neuroinformatics | (J) |
| Minich J, Négyessy L, Procyk E, Barone P, Odry P and Bazsó F Statistical and stochastical properties of inter spike interval time series. Frontiers in Systems Neuroscience. Conference Abstract: 12-th Meeting of the Hungarian Neuroscience Society. doi: 10.3389/conf.neuro.01.2009.04.213 | (O) |
| 2008 | |
| Minich J., Négyessy L., Barone P., Procyk E., Zalányi L. and Bazsó, F. Statistical method for determination of interspike interval probability density function 6-th International Symposium on Intelligent Systems and Informatics, 2008. SISY 2008. Subotica, Serbia. ISBN: 978-1-4244-2406-1, INSPEC Accession Number: 10384697, Digital Object Identifier: 10.1109/SISY.2008.4664907 | (P) |
| VA Diwadkar, B Flaugher, T Jones, Zalányi L, Ujfalussy B, MS Keshavan, Érdi P.Impaired associative learning in schizophrenia: Behavioral and computational studies. Cognitive Neurodynamics 2(3):207-219 (2008) | (J) |
| K. Szalisznyó, L. Müller: Dopamine induced switch in the subthreshold dynamics of the striatal cholinergic interneurons: a numerical study. Journal of Theoretical Biology, 2009; 256(4):547-60. | (J) |
| Négyessy L, Nepusz T, Zalányi L, Bazsó F.: Convergence and divergence are mostly reciprocated properties of the connections in the network of cortical areas. Proceedings of the Royal Society B, 275:2403-2410 (2008); doi:10.1098/rspb.2008.0629 | (J) |
| Péter Érdi, Vaibhav Diwadkar, Balázs Ujfalussy: The Schizophrenic Brain: A broken hermeneutic circle. In: Vera Kurkova Roman Neruda, Jan Koutnik (Eds.): Artificial Neural Networks – ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II. Lecture Notes in Computer Science 5164 Springer 2008, pp. 929-938 | (A) |
| Petróczi A., EV Aidman, and Nepusz T.: Capturing doping attitudes by self-report declarations and implicit assessment: a methodology study. Substance Abuse Treatment, Prevention, and Policy 3(9), doi:10.1186/1747-597X-3-9 | (J) |
| Érdi P., Ujfalussy B., Zalányi L., V A Diwadkar: Computational approach to schizophrenia: Disconnection syndrome and dynamical pharmacology. In A selection of papers of The BIOCOMP 2007 International Conference L. M. Ricciardi (ed.) Proceedings of the American Institute of Physics 1028, 65-87 | (P) |
| Ujfalussy B., Erős P., Somogyvári Z., Kiss T.: Episodes in space: A modelling study of hippocampal place representation M. Asada et al (Eds): SAB 2008, LNAI 5040, pp. 123-136, Springer-Verlag Berlin Heidelberg, 2008. | (P) |
| Ujfalussy B., Kiss T. and Érdi P.: Independence of the granule cell’s dendritic branches leads to multiple place fields in the dentate gyrus, Proceedings of the 5th Cosyne, p213, Salt Lake City, Utah, 2008 | (A) |
| Ulbert I., Érdi P. and Somogyvári Z.: Spatio-temporal spike dynamics: Localization of single cell currents based on extracellular potentials patterns. Proceedings of the 5th Cosyne, p214, Salt Lake City, Utah, 2008 | (A) |
| Nepusz T., Négyessy L., Tusnády G., Bazsó F.: Reconstructing cortical networks: case of directed graphs with high level of reciprocity. Chapter 8 in Handbook of Large-Scale Random Networks, eds.: Béla Bollobás, Róbert Kozma, Dezső Miklós. Springer-Verlag | (Ch) |
| Csárdi G, KJ Strandburg, J Tobochnik, Érdi P.: The inverse problem of evolving networks – with application to social nets. Chapter 10 in Handbook of Large-Scale Random Networks, eds.: Béla Bollobás, Róbert Kozma, Dezső Miklós. Springer-Verlag | (Ch) |
| Nepusz T, Petróczi A, Négyessy L, Bazsó F.: Fuzzy communities and the concept of bridgeness in complex networks. Physical Review E, 77:016107, 2008. | (J) |
| 2007 | |
| Szalisznyó K, Longtin A, Maler L.: Effect of synaptic plasticity on sensory coding and steady-state filtering properties in the electric sense. Biosystems 92(1):16-28. (2008) | (J) |
| Nepusz T, Bazsó F: Maximum likelihood methods for data mining in datasets represented by graphs. Proceedings of the IEEE 5th International Symposium on Intelligent Systems and Informatics, pp. 161-165. | (P) |
Érdi P.: Complexity explained. Springer, 2007  | (M) |
| Nepusz T, Bazsó F: Likelihood-based clustering of directed graphs. Proceedings of the IEEE 3rd International Symposium on Computational Intelligence and Intelligent Informatics, pp. 189-194. | (P) |
| Csárdi G, Strandburg KJ, Zalányi L, Tobochnik J, Érdi P: Modeling innovation by a kinetic description of the patent citation system Physica A: Statistical and Theoretical Physics 374(1-2) (2007) 783-793 | (J) |
| Ujfalussy B, Kiss T, Orbán G, WE Hoffmann, Érdi P, Hajós M: Pharmacological and Computational Analysis of alpha-subunit Preferential GABAA Positive Allosteric Modulators on the Rat Septo-Hippocampal Activity. Neuropharmacology 52(3) (2007) 733-743 | (J) |
| 2006 | |
| Strandburg KJ, Csárdi G, Tobochnik J, Érdi P, Zalányi L: Law and the Science of Networks: an Overview and an Application to the “Patent Explosion”, Berkeley Technology Law Journal, 21(4) (2006) 1293-1362 | (J) |
| Csárdi G: Dynamics of citation networks, Proceedings of the International Conference on Artificial Neural Networks, Lecture Notes in Computer Science, 698-709 (2006) | (PB) |
| Csárdi G, Strandburg KJ, Zalányi L, Tobochnik J, Érdi P: Estimating the dynamics of kernel-based evolving networks, Proceedings of the International conference on Complex Systems (2006) | (P) |
| Csárdi G, Nepusz T: The igraph software package for complex network research, Proceedings of the International Conference on Complex Systems (2006) | (P) |
| Borbély S, Halasy K, Somogyvári Z, Détári L, Világi I.: Laminar analysis of initiation and spread of epileptiform discharges in three in vitro models. Brain Research Bulletin 69 (2) (2006) 161-167 | (J) |
| Petróczi A, Nepusz T, Bazsó F: Measuring tie-strength in virtual social networks Connections 27(2) (2006) 49-57 | (J) |
| Orbán G, Kiss T and Érdi P.: Intrinsic and synaptic mechanisms determining the timing of neuron population activity during hippocampal theta oscillation. Journal of Neurophysiology 96(6) (2006) 2889-2904 | (J) |
| Ujfalussy B and Kiss T: How do glutamatergic and GABAergic cells contribute to synchronization in the medial septum? Journal of Computational Neuroscience 21(3) (2006) 343-357 | (J) |
| Bazsó F and Lábos E: Boolean-Lie Algebras and the Leibniz rule. Journal of Physics A: Mathematical and General. 39 (2006) 6871-6876, doi:10.1088/0305-4470/39/22/005 | (J) |
| Érdi P, Kiss T, Tóth J, Ujfalussy B and Zalányi L: From systems biology to dynamical neuropharmacology: Proposal for a new methodology. IEE Proceedings in Systems Biology 153(4) (2006) 299-308 | (J) |
| Négyessy L, Nepusz T, Kocsis L and Bazsó F: Prediction of the main cortical areas and connections involved in the tactile function of the visual cortex by network analysis. European Journal of Neuroscience 23(7) (2006) 1919-1930. | (J) |
Aradi I and Érdi P: Computational neuropharmacology: dynamical approaches in drug discovery. Trends in Pharmacological Sciences 27(5) (2006) 240-243 | (J) |
| Kiss T and Érdi P: From electric patterns to drugs: perspectives of computational neuroscience in drug design. BioSystems 86(1-3) (2006) 46-52 | (J) |
| Kiss T, Orbán G and Érdi P: Modelling hippocampal theta oscillation: applications in neuropharmacology and robot navigation. International Journal of Intelligent Systems 21(9) (2006) 903-917 | (J) |
| Szalisznyó K, Longtin, A and Maler, L: Altered sensory filtering and coding properties by synaptic dynamics in the electric sense. Neurocomputing 69(10-12) (2006) 1070-1075 | (J) |
| Szalisznyó K: Role of hyperpolarization-activated conductances in the lateral superior olive: a modeling study Journal of Computational Neuroscience 20(2) (2006) 137-152, DOI: 10.1007/s10827-005-5637-5 | (J) |
| 2005 | |
| Érdi P and Tóth J: Towards a dynamic neuropharmacology: Integrating network and receptor levels. In: Brain, Vision and Artifical Intelligence. M. De Gregorio, V. Di Maio, M. Frucci and C. Musio (eds). Lecture Notes in Computer Science 3704, Springer, Berlin Heidelberg 2005, pp. 1-14. | (Ch) |
| Huhn Zs, Orbán G, Érdi P and Lengyel M: Theta oscillation-coupled dendritic spiking integrates inputs on a long time scale Hippocampus 15(7) (2005) 950-962 | (J) |
| Érdi P, Huhn Zs and Kiss T: Hippocampal theta rhythms from a computational perspective: code generation, mood regulation and navigation Neural Networks 18(9) (2005) 1202-1211 | (J) |
| Somogyvári Z, Zalányi L, Ulbert I and Érdi P: Model-based source localization of extracellular action potentials. Journal of Neuroscience Methods 147(2) (2005) 126-137 | (J) |
| Érdi P: Nonlinear Spatio-temporal Neural Dynamics – Experiments and Theoretical Model. Editorial Biological Cybernetics 92 (2005) 349-349 | (J) |
| Lengyel M, Huhn Zs and Érdi P Computational theories on the function of theta oscillation. Biological Cybernetics 92 (2005) 393-408 | (J) |
| Huhn Zs, Lengyel M, Orbán G and Érdi P: Dendritic spiking account for rate and phase coding in a biophysical model of a hippocampal cell. Neurocomputing 65-66 (2005) 331-341 | (J) |
| 2004 | |
| Bazsó F, Petróczi A, Zalányi L: Accuracy of Joint Entropy and Mutual Information Estimates. Proceedings. 2004 IEEE International Joint Conference on Neural Networks 4 (2004) 2843- 2846 | (P) |
| Szalisznyó K, Zalányi L: Role of hyperpolarization-activated conductances in the auditory brainstem Neurocomputing 58-60 (2004) 401-407 | (J) |
| Kozma R, WJ Freeman, D Wong, Érdi P: Learning environmental clues in the KIV model of the cortico-hippocampal formation Neurocomputing 58-60 (2004) 721-728 | (J) |
| Papp G, Huhn Zs, Lengyel M, Érdi P: Effect of dendritic location and different components of LTP expression on the bursting activity of hippocampal CA1 pyramidal cells Neurocomputing 58-60 (2004) 691-697 | (J) |
| Hajós M, WE Hoffmann, Orbán G, Kiss T, Érdi P: Modulation of septo-hippocampal theta activity by GABAA receptors: Experimental and computational approach Neuroscience 126/3 (2004) 599-610 | (J) |
| Huhn Zs, Lengyel M, Érdi P: Rate and phase coing in a biophysical model of a hippocampal place cell Cybernetics and System Research: 2004 (ed. Trappl R), Austrian Society for Cybernetic Studies, Vienna, (193-198) 2004 | (P) |
| Lengyel M, Érdi P: Theta modulated feed-forward network generates rate and phase coded firing in the entorhino-hippocampal system IEEE Transactions on Neural Networks 15 (2004) 1092-1099 | (J) |
| Kocsis L, Négyessy L. and Bazsó F: Visuo-tactile cortical network defined on graph-theoretical ground 27th European Conference on Visual Perception, 2004 Budapest. Perception. 33(Suppl.), 143. | (P) |
| Négyessy L, Bazsó F and Kocsis L: Visuo-tactile cortical network defined on graph-theoretic ground MITT Conference, and IBRO International Workshop Budapest, 2004 Clinical Neuroscience 57(S1), 50. | (P) |
| 2003 | |
| Orbán G, Kiss T, WE Hoffmann, Érdi P, Hajós M Modulation of Septo-hippocampal Theta Oscillation by GABAA Receptors: an Experimental and Computational Approach Program No. 679.11. 2003 Abstract Viewer/Itinerary Planner. Washington, DC: Society for Neuroscience, 2003. Online | (A) |
| Érdi P: Neurobiológia És informatika Magyar Tudomány 2003 december | (JH) |
| Zalányi L, Csárdi G, Kiss T, Lengyel M, Warner R, Tobochnik J, Érdi P: Properties of a random attachment growing network Physical Review E 68 066104 (2003) | (J) |
| Lengyel M, Szatmáry Z, Érdi P: Dynamically detuned oscillations account for the coupled rate and temporal code of place cell firing. Hippocampus 13 (2003) 700-714 | (J) |
| Bazsó F, Zalányi L, Csárdi G: Channel Noise in Hodgkin-Huxley Model Neurons. Physics Letters A, 311/1 (2003) 13-20 | (J) |
| Érdi P, Lengyel M: Matematikai modellek az idegrendszer-kutatásban. Kognitív idegtudomány (Eds. PlÉh Cs, Kovács Gy, Gulyás B), Osiris: Budapest, pp. 126-148 | (ChH) |
| Földy Cs, Somogyvári Z, Érdi P: Hierarchically Organized Minority Games. Physica A, 323 (2003) 735-742 | (J) |
| Kozma R, Freeman WJ, Érdi P: The KIV Model – Nonlinear Spatio-Temporal Dynamics of the Primordial Vertberate Forebrain. Neurocomputing, 52-54 (2003) 819-826 | (J) |
| 2002 | |
| Érdi P, Somogyvári Z: Post-Hebbian Learning Algorithms. The Handbook of Brain Theory and Neural Networks, Second edition, (M.A. Arbib, Ed.), The MIT Press, Cambridge, MA. pp. 533-539 | (Ch) |
| Érdi P, Szalisznyó K: Hippocampal Rhythm Generation. The Handbook of Brain Theory and Neural Networks, Second edition, (M.A. Arbib, Ed.), The MIT Press, Cambridge, MA. pp. 898–901 | (Ch) |
| Kiss T, Érdi P: Mesoscopic Neurodynamics. BioSystems, Michael Conrad’s special issue, 64/1-3 (2002) 119-126 | (J) |
| Érdi P, Tsuda I: Hermeneutic Approach to the Brain: Process versus Device? Theoria et Historia Scientiarum Vol 6. 307-321, 2002 | (J) |
| 2001 | |
| Érdi P: How to construct a brain theory? Behavioral and Brain Sciences 24 (2001) 815 | (J) |
| Misják F, Lengyel M, Érdi P: Episodic memory and cognitive map in a rate model network of the rat hippocampus. ICANN 2001 (Eds. Dorffner G, Bischof H, Hornik K), Springer Berlin 1135-1140 | (P) |
| Somogyvári Z, Barna B, Szász A, Szente M, Érdi P: Slow dynamics of epileptic seizure: analysis and model. Neurocomputing 38-40 (2001) 921-926 | (J) |
| Kiss T, Orbán G, Lengyel M, Érdi P: Intrahippocampal gamma and theta rhythm generation in a network model of inhibitory interneurons. Neurocomputing 38-40 (2001) 713-719 | (J) |
| Zalányi L, Bazsó F, Érdi P: The effect of synaptic depression on stochastic resonance. Neurocomputing 38-40 (2001) 459-465 | (J) |
| Orbán G, Kiss T, Lengyel M, Érdi P: Hippocampal rhythm generation: gamma related theta frequency resonance. Biological Cybernetics 84 (2001) 123-132 | (J) |
| 2000 | |
| Szalisznyó K, Érdi P: Depolarizing/hyperpolarizing effects of GABAA synapse have beneficial role in synaptic weight resetting in hippocampus. Neuroreport 11 (2000) 3559-64 | (J) |
| Somogyvári Z, Payrits Sz: Length of State Cycles of Random Boolean Networks: an Analytic Study. Journal of Physics A: Mathematical and General 33 (2000) 6699-6706 | (J) |
| Payrits Sz, Zalányi L, Érdi P: Use of Paralell Computers in Neurocomputing. Recent Advances in PVM and MPI (Eds. J. Dongarra, P. Kacsuk, N. Podhorszki), Lect. Notes in Computer S&ci. Springer Verlag (2000) 313-321 | (PB) |
| Érdi P, Kiss T: The Complexity of the Brain: Structural, Functional and Dynamic Modules. Emergent Neural Computational Architectures based on Neuroscience, (Eds. S. Wermter, J. Austin, D. Willshaw), Springer Heidelberg | (Ch) |
| Arbib M, Érdi P: Structure, Function, and Dynamics: An Integrated Approach to Neural Organization. Behavioral and Brain Sciences 23(513-571) | (J) |
| Szalisznyó K, Érdi P: Effects of Granule Cell Firing Properties on the Temporal Pattern of the CA3 Pyramidal Cell’s Firing. Neurocomputing 32-33 (553-561) 2000 | (J) |
| Bazsó F: Derivation of Vector-Valued Boolean Functions. Acta Mathematica Hungarica 87 (197-203) 2000 | (J) |
| Érdi P: On the ‘Dynamic Brain’ Metaphor. Brain and Mind 1(119-145) 2000 | (J) |
| Érdi P: Az agy dinamikája. Pannonhalmi szemle VIII/2 (60-68) 2000 | (JH) |
| Szalisznyó K, Érdi P: Statistical analysis of the hippocampal mossy-fiber projection’s effect. Cybernetics and System Research: 2000 (ed. Trappl R), Austrian Society for Cybernetic Studies, Vienna, (336-340) 2000 | (P) |
| Kiss T, Orbán G, Lengyel M, Érdi P: Hippocampal rhythm generation: gamma related theta frequency resonance. Cybernetics and System Research: 2000 (ed. Trappl R), Austrian Society for Cybernetic Studies, Vienna, (330-335) 2000 | (P) |
| 1999 | |
| Lengyel M, Szatmári Z, Érdi P: A detuned oscillator model of place unit phase precession in the rat hippocampus. Society for Neuroscience Abstracts. volume 25, Part 2, page 1387. 1999 | (A) |
| Bazsó F, Kepecs Á, Lengyel M, Payrits Sz, Szalisznyó K, Zalányi L, Érdi P: Single cell and population activities in cortical-like systems. Reviews in the Neurosciences 10 (201-212) 1999 | (J) |
| Lengyel M, Kepecs Á, Érdi P: Location-dependent differences between somatic and dendritic IPSPs. Neurocomputing 26-27 (193-197) 1999 | (J) |
| Érdi P, Aradi I: The Brain as a hermeneutic device. Hermeneutics and Science. Boston Studies in the Philosophy of Science, Vol. 206, (Eds. M. FehÉr, O. Kiss and L. Ropolyi),Kluwer Acad. Publ Dordrecht-Boston-London. pp. 183-198. | (Ch) |
| Adorján P, Barna G, Érdi P, Obermayer K: A statistical neuralfield approach to orientation selectivity.Neurocomputing 26-27 (313-318) 1999 | (J) |
| Bazsó F, Szalisznyó K, Payrits Sz, Érdi P: A statistical approach to neural population dynamics: theory, algorithms, simulations. Neurocomputing 26-27 (329-334) 1999 | (J) |
| Érdi P: Computational approach to the functional organization of the hippocampus. Neuronal bases and pscychological aspects of consciousness (ed. Taddei-Ferrati C), World Scientific, (72-84) | (Ch) |
| Érdi P: Neural and mental development: selectionsim, constructivism, hermeneutics. Neuronal bases and pscychological aspects of consciousness (ed. Taddei-Ferrati, C), World Scientific, (507-518) | (Ch) |
| 1998 | |
| Bazsó F: Model of immunosuppression based on differential delay equations. Acta Chemia Hungarica – Models in Chemistry, 135 (247-256) 1998 | (J) |
| Érdi P: Structure-based modeling of schemas. Artificial Intelligence, 101 (341-343) 1998 | (O) |
| Grőbler T, Barna G, Érdi P: Statistical model of the hippocampal CA3 region I. The single-cell module: bursting model of the pyramidal Cell. Biol. Cybernetics, 79 (301-308) 1998 | (J) |
| Barna G, Grőbler T, Érdi P: Statistical model of the hippocampal CA3 region II. The population framework: model of rhythmic activity in the CA3 slice. Biol. Cybernetics, 79 (309-321) 1998 | (J) |
| Érdi P, Aradi I, Kato Y, Yoshikawa, K: Dynamic information processing in natural and artificial olfactory systems. BioSytems, 46 (107-112) 1998 | (J) |
| Somogyvári Z, Andai A, Székely G, Érdi P: On the role of self-excitation in the developement of topographic order in the visual system of the frog. BioSystems, 48 (215-222) 1998 | (J) |
| Somogyvári Z, Andai A, Székely G, Érdi P: A self-organizing model of the ontogeny of the frog’s visual system:the generation of the anisotropy. Cybernetics and System Research: 98 (ed. Trappl R), Austrian Society for Cybernetic Studies, Vienna, (317-322) 1998 | (P) |
| Érdi P: A Statistical Aproach to Neural Population Dynamics: Theory, Algorithms. Simulations. Eur. J. Neurosci 10, Suppl.10 (37) 1998 | (A) |
| Szatmáry Z, Lengyel M, Érdi P, Obermayer K: Using temporal associatons to model the development of place fields in a novel environment. Eur. J. Neurosci 10, Suppl.10 (39) 1998 | (A) |
| Érdi P, Kepecs Á, Lengyel M, Obermayer K, Szatmáry Z: Dynamics of the Hippocampus: Multiple Strategies. International Conference on Neural Information Processing, Kitakyushu, (777-780) 1998 | (P) |
| Érdi P: A kísÉrleti episztemológia nagy kísÉrlete: A McCulloch centenárium elÉ. Magyar Pszichológiai Szemle, 37 (59-68) 1997-98 | (JH) |
| Bazsó F: Logika, dinamika, neurodinamika. Magyar Pszichológiai Szemle, 37 (233-241) 1997-98 | (JH) |
| Bazsó F: Mathematical modell for immunosupressive effect of dopamine. Neurobiology, 6 (168) 1998 | (A) |
| Érdi P: Idegrendszeri modellek. Új Alaplap, 16 (61-63) 1998 | (JH) |
| 1997 | |
Arbib MA, Érdi P, Szentágothai J: Neural Organization: Structure, Function and Dynamics. MIT Press, 1997  | (M) |
| Érdi P, Aradi I, Grőbler T: Rhythmogenesis in single cells and population models: olfactory bulb and hippocampus. BioSystems, 40 (45-53) 1997 | (J) |
| Grőbler T, Barna G: Single cell and population activity in a statistical model of the hippocampal CA3 region. Computational Neuroscience: Trends in Research (ed. Bower JM), Plenum, New York, (327-331) 1997 | (PB) |
| Bazsó F, Lábos E: Differentiable Boolean dynamics is possible and useful for studying neural network behaviour. Neurobiology, 5 (263-266) 1997 | (JH) |
| 1996 | |
| Érdi P: Levels, models, and brain activities: neurodynamics is pluralistic. Behavioral and Brain Sciences, 19 (296-297) 1996 | (J) |
| Érdi P: The brain as a hermeneutic device. BioSystems, 38 (79-89) 1996 | (J) |
| Érdi P: The complexity of the brain: structure, function, dynamics. Brain Processes, Theories and Models (ed. Moreno-Diaz R, Mira-Mira J), MIT Press, Cambridge (88-97) 1996 | (Ch) |
| Aradi I, Érdi P: Signal generation and propagation in the olfactory bulb: multicompartmental modeling. Computers and Mathematics with Applications, 32 (1-27) 1996 | (J) |
| Aradi I, Érdi P: Multicompartmental modeling of neural circuits in the olfactory bulb. Cybernetics and Systems, 27 (605-615) 1996 | (J) |
| Grőbler T, Barna G: A statistical model of the CA3 region of the hippocampus. Cybernetics and Systems ’96 (ed. Trappl R), Austrian Society for Cybernetic Studies, Vienna, (503-507) 1996 | (P) |
| Bazsó F, Lábos E: Towards a differentiable Boolean dynamics. Cybernetics and Systems ’96 (ed. Trappl R), Austrian Society for Cybernetic Studies, Vienna, (14-19) 1996 | (P) |
| Aradi I, Érdi P: Multicompartmental modeling of the olfactory bulb. Cybernetics and Systems ’96 (ed. Trappl R), Austrian Society forCybernetic Studies, Vienna, 1996 | (P) |
| Érdi P, Aradi I, Grőbler T, Barna G: Matematikai modellek az idegrendszer kutatásában. Fizikai Szemle, (201-207) 1996 | (JH) |
| Bazsó F, Lábos E: Application of multivalued threshold logics in canonical splitting of spike records. Fiziologia-Physiology, 10 (53) 1996 | (AH) |
| Bazsó F, Lábos E: The structure of cyclic activity patterns in formal neural networks. Fiziologia-Physiology, 10 (85) 1996 | (AH) |
| Lábos E, Bazsó F: Neurons as measuring devices (revisited). Fiziologia-Physiology, 10 (88) 1996 | (AH) |
| Aradi I, Érdi P: Multicompartmental modeling of neural circuits in the olfactory bulb. Int. J. Neural Systems, 7 (519-527) 1996 | (J) |
| Érdi P: Alternative modeling strategies and their applicationsin the olfactory system and the hippocampus. Neurobiology, 4 (261-263) 1996 | (EA) |
| Aradi I, Érdi P: Simulation of the whole olfactory bulb based on detailed single cell models. Neurobiology, 4 (251-252) 1996 | (A) |
| Adorján P, Barna G, Érdi P, Grőbler T, Kepecs Á, Lengyel M, Ventriglia F: Multicompartmental modeling of hippocampal pyramidal cells and interneurons with the GENESIS software tool. Neurobiology, 4 (247-249) 1996 | (EA) |
| Grőbler T, Barna G: Normal and epileptic activities in a population model of the hippocampal CA3 region. Neurobiology, 4 (265-267) 1996 | (EA) |
| Grőbler T: Tanulás biológiai És mestersÉgeshálózatokon. Pszichológia, 16 (409-423) 1996 | (JH) |
| 1995 | |
| Érdi P: Neural modeling: multiple strategies. Biomath-95, Sofia, Bulgaria, (41) 1995 | (A) |
| Érdi P: Rhythmogenesis, synchronization, chaos and control in neural systems. Complex Dynamics in Chemistry and Biology, Odense, Denmark, 1995 | (A) |
| Aradi I, Érdi P: Rhythmmogenesis in the mitral cells of the olfactory bulb: multicompartmental modeling. Complex Dynamics in Chemistry and Biology, Odense, Denmark, 1995 | (A) |
| Grőbler T, Barna G, Adorján P, Fügedi Z, Érdi P: Synchronized activity in a CA3 model. European Journal of Neuroscience, Suppl. 8 (103) 1995 | (A) |
| Barna G: Lyapunov exponents from time series: variations for an algorithm. International Journal of Intelligent Systems, 10 (25-39) 1995 | (J) |
| Aradi I, Barna G, Érdi P, Grőbler T: Chaos and learning in the olfactory bulb. International Journal of Intelligent Systems, 10 (89-117) 1995 | (J) |
| Érdi P: The complexity of the brain: structure, function, dynamics. Int. Seminar on Evolutinoary Systems, (ed. Van de Vijver G), Vienna, (51-60) 1995. | (P) |
| Érdi P, Aradi I: Signal generation and propagation in the olfactory bulb: multi-compartmental simulations. Int. Workshop Neural Coding, Prague, Czech Republic, (17) 1995 | (A) |
| Érdi P: Rhythmogenesis in single cells and population models: olfactory bulb and hippocampus. Int. Workshop Neural Coding, Prague, Czech Republic, (17) 1995 | (A) |
| Érdi P: Neurodynamic system theory: neurons, networks, populations. Lecture Notes on Biomathematics and Bioinformatics ’95, (ed. Candev M), Datecs Publ., Sofia, (3-6) 1995 | (EA) |
| Adorján P, Aradi I, Barna G, Érdi P, Grőbler T: Modeling mitral and granule cells of the olfactory bulb with the NEURONsoftware tool. Neurobiology, 3 (3) 1995 | (A) |
| Érdi P: Rhythmogenesis, synchronization and control of chaos: neural mechanisms and algorithms. Neurobiology, 3 (44) 1995 | (A) |
| Érdi P: Noise-induced transition, signal propagation, synchronizationand chaos controlling in the nervous systems. The Role and Control of Random Events in Biological Systems, Sigtuna, Sweden, 1995 | (A) |
| 1994 | |
| Érdi P: Molecular computation: a dynamic approach. COMBIO’ 94, (41-48) 1994 | (P) |
| Érdi P: Noise and chaos in neural systems. Neural Modeling and Neural Networks (ed. Ventriglia F), Pergamon Press, (163-184) 1994 | (Ch) |
| Grőbler T, Kovács I: Dendritic integration in a CA3 pyramidal cell: quantitative analysis. Neurobiology, 2 (53) 1994 | (A) |
| Érdi P, Barna G, Grőbler T, Jakab Z, Ventriglia F: Outline of a model of the hippocampus. Neurobiology, 2 (47) 1994 | (A) |
| Barna G, Grőbler T, Jakab Z, Érdi P: Synchronized activity in a CA3 model. Neurobiology, 2 (31) 1994 | (A) |
| Aradi I, Grőbler T, Érdi P: Stabilization of a hebbian-type learning rule. Neurobiology, 2 (27) 1994 | (A) |
| Érdi P: Rethinking neural networks: quantum fields and biological data. (ed. Pribram KH) Neuropsychologia, 32, 1994 | (O) |
| Tóth J, Szili L, Érdi P: Chemical kinetics: a prototype of nonlinear sciences. The Paradigm of Self-Organization II<, (ed. Dalenoort GJ), Gordon and Breach, London, (184-201) 1994 | (Ch) |
| Tsuda I, Barna G: How can chaos be a cognitive processor? Towards the Harnessing of Chaos, (ed. Yamaguti M), Elsevier, (47-61) 1994 | (Ch) |
| 1993 | |
| Érdi P, Grőbler T, Tóth J: Classification by neurodynamic systems: a reconsideration. Abstracts of the 11th International Biophysics Congress, IUPAB, Budapest, 1993 | (A) |
| Érdi P, Grőbler T, Barna G, Kaski K: Dynamics of the olfactory bulb: bifurcations, learning and memory. Biological Cybernetics, 63 (57-66) 1993 | (J) |
| Grőbler T, Érdi P: Dynamic activity, learning, and memory in a model of the olfactory bulb. Computational Neuroscience, (ed. Eeckman FH, Bower JM), Kluwer Acad. Publ., (261-265) 1993 | (PB) |
| Horváth G, Szakál á, Érdi P: Mathematical description of retinal comet-like after images. A modified neural equation. Math. Biosci., 114 (215-248) 1993 | (J) |
| Barna G, Tsuda I: A new method for computing the Lyapunov exponents. Physics Letters A, 175 (421-7) 1993 | (J) |
| Érdi P: Neurodynamic system theory. Theoretical Medicine, 14 (137-152) 1993 | (J) |
| 1992 | |
| Grőbler T, Érdi P: Dynamic phenomena in the olfactory bulb. Acta Biochim. Biophys. Hung., 26 (61-65) 1992 | (J) |
| Grőbler T, Érdi P, Kaski K: Dynamic phenomena in the olfactory bulb. II.: model for a simple associative memory. Artificial Neural Networks II (ed. Aleksander I, Taylor J), Elsevier, (877-880) 1992 | (PB) |
| Érdi P, Grőbler T, Kaski K: Dynamic phenomena in the olfactory bulb. I.: bifurcation sequences, coexistence of periodicity and chaos, synaptic modification induced transition. Artificial Neural Networks II (ed. Aleksander I, Taylor J), Elsevier, (873-876) 1992 | (PB) |
| Horváth G, Érdi P, Szakál á: Modelling of retial comet-like after images. Cybernetics and Systems ’92 (ed. Trappl R), World Scientific, (733-740) 1992 | (PB) |
| Érdi P, Grőbler T, Tóth J: On the classification of some classification problems. Int. Symp. on Information Physics, Kyushu Inst. Technol., Iizuka, (110-117) 1992 | (P) |
| Érdi P, Grőbler T, Marton P: On the double architecture of the semantic memory. Nature, Cognition and Systems II (ed. Carvallo EM), Kluwer Acad. Publ., (193-203) 1992 | (Ch) |
| Tóth J, Érdi P: The indispensibility of stochastic kinetic models. Nonlinear Dynamics and Exotic Kinetic Phenomena in Chemical Systems (ed. Bazsa G), (117-143) 1992 | (ChH) |
| Érdi P, Grőbler T, Barna G: Oscillation and chaos in a model of the olfactory bulb. Proc. 2nd Int. Conf. on Fuzzy Logic and Neural Networks, Fuzzy Logic System Institute, Iizuka, (917-20) 1992 | (P) |
| Barna G: Statistical approach for computing the largest Lyapunov exponent. Proc. 2nd Int. Conf. on Fuzzy Logic and Neural Networks, Fuzzy Logic System Institute, Iizuka, (921-4) 1992 | (P) |
| Barna G, Tsuda I: Chaos in the olfactory bulb. Proc. 4th Int. Symp. on Bioelectronic and Molecular Devices, R&D Association for Future Electron Devices, (19-20) 1992 | (P) |
Legend: A – Abstract; AH – Abstract in Hungarian; Ch – Chapter in a book; ChH – Chapter in a Hungarian book; EA – Extended abstract; J – Paper published in a Journal; JH – Paper published in Hungarian; M – Monograph; MH – Monograph in Hungarian; P – Paper published in Proceedings; PB – Paper published in Proceedings if it is available as a book; B – Book, anthology, O – Others