- About our group
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- Computational Neuroscience Projects
- Complex Systems Projects
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- EURESIST - Project
- ICEA - Modelling goal-directed navigation of the rat
- Hippocampal oscillations
- Study of sensory systems
- Software package for complex network analysis
- Dynamics of evolving networks
- A populational model of hippocampus CA3 region slices
- Development of hippocampal place fields
- Hippocampal coding and dynamics
- Location dependent differences between somatic and dendritic IPSPs
- Olfaction and its underlying stochastic phenomena
- The role of self-excitation in the development of topographic order
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- IJCNN 11 Workshop
- Past events
- Minisymposium on Computational Aspects of Neurological and Psychatric Diseases
- Workshop on large scale random graphs
- Workshop on Cortico- Hippocampal dynamics: Navigation and Neuromodulation
- Joint Workshop on Neural Autonomous Robots
- Workshop on System Neuroscience
- Neuronhálózatok strukturális kérdései
- 7th Tamagawa Dynamic Brain Forum 2002
- Minisymposium on Computational Neuroscience
- Számítógepes neurológia konferencia, Problemák - Adatok - Modellek
- Budapest - Tampere Minisymposium on Computational Neurolgy
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Dynamic modeling of associative learning in schizophrenia
Schizophrenia is a complex disease of very diverse symptoms and mostly unknown causes. A possible underlying phenomenon is described by the "disconnection syndrome" hypothesis, when the control signal flow between cortical areas is impaired. Vaibhav Diwadkar conducted an fMRI study of associative learning with schizophrenia patients. We analyze this data using Dynamic Causal Models, which are inverted and compared with Bayesian techniques. We examine the differences in the causal connection patterns and strengths between healthy and schizophrenic subjects.
A poster about the project presented at the MITT 11 conference: pdf. Awarded with best poster award in Neural Disorders section.
A slide show presenting the project in Hungarian, targeted for general audience: pdf
People working on this project
Péter Érdi, Mihály Bányai, Vaibhav Diwadkar
Publications related to this project
M Bányai, B Ujfalussy, V Diwadkar and P Érdi. 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, M Bányai, B Ujfalussy, V Diwadkar. 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
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
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
P. Érdi, B. Ujfalussy, V. Diwadkar: The schizophrenic brain: A broken hermeneutic circle Neural Network Word 19(5):413-427
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)