- About our group
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- Computational Neuroscience Projects
- Complex Systems Projects
- Past projects
- 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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- CNS '15 Host Proposal
- 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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The role of self-excitation in the development of topographic order
A connectionist type model is presented for explaining the development of the topographically ordered retinotectal connections of the visual system of the frog. The structure of a tectal column were taken into account inplicitly. Simulations suggest that the self-excitatory intracolumnar connections play an important role in the formation of the topography.
Based on a large number of experiments, the development of highly ordered afferent pathway of the optic tectum seems to be activity-dependent. Activity-dependent mechanisms mainly effect via modification of synaptic strengths, due to temporal correlation of the activities between the pre- and post-synaptic side. All the previous activity-dependent models deal with the spatial correlation of the images refected onto the retina, which is generally true in natural images, but have not been proofed in images after retinal transformation. The movement of objects is always conntinous. This feature can provide a possibility to establish topogaphically ordered projections, if the receiving system can recognize and make use of it. The reverberatory loops created by large-pear shaped cells,soma provide the biological basis of self-excitation. The simulations show, in the case of self-excitation the system is able to recognize the topology of the visual field by the conntinuity of the object's movement.
Zoltán Somogyvári was working on this project.