KFU. Card publication. Self-wiring in neural nets of point-like cortical neurons fails to reproduce cytoarchitectural differences

KAZAN
FEDERAL UNIVERSITY

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SELF-WIRING IN NEURAL NETS OF POINT-LIKE CORTICAL NEURONS FAILS TO REPRODUCE CYTOARCHITECTURAL DIFFERENCES

Form of presentation

Articles in international journals and collections

Year of publication

2006

Authors, employees of KFU

Gafarov Fail Mubarakovich, author

Bibliographic description in the original language

Gafarov, F.M. Self-wiring in neural nets of point-like cortical neurons fails to reproduce cytoarchitectural differences, Journal of Integrative Neuroscience Volume 5, Issue 2, June 2006, Pages 159-169

Annotation

We propose a model for description of activity-dependent evolution and self-wiring between binary neurons. Specifically, this model can be used for investigation of growth of neuronal connectivity in the developing neocortex. By using computational simulations with appropriate training pattern sequences, we show that long-term memory can be encoded in neuronal connectivity and that the external stimulations form part of the functioning neocortical circuit. It is proposed that such binary neuron representations of point-like cortical neurons fail to reproduce cytoarchitectural differences of the neocortical organization, which has implications for inadequacies of compartmental models

Keywords

Axon pathfinding; Brain development; Chemoattractants; Chemoreppelents; Growth cone; Neural circuits integration

The name of the journal

Journal of Integrative Neuroscience

URL

http://www.worldscientific.com/doi/abs/10.1142/S0219635206001136

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=89248&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Gafarov Fail Mubarakovich	ru_RU
dc.date.accessioned	2006-01-01T00:00:00Z	ru_RU
dc.date.available	2006-01-01T00:00:00Z	ru_RU
dc.date.issued	2006	ru_RU
dc.identifier.citation	Gafarov, F.M. Self-wiring in neural nets of point-like cortical neurons fails to reproduce cytoarchitectural differences, Journal of Integrative Neuroscience Volume 5, Issue 2, June 2006, Pages 159-169	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=89248&p_lang=2	ru_RU
dc.description.abstract	Journal of Integrative Neuroscience	ru_RU
dc.description.abstract	We propose a model for description of activity-dependent evolution and self-wiring between binary neurons. Specifically, this model can be used for investigation of growth of neuronal connectivity in the developing neocortex. By using computational simulations with appropriate training pattern sequences, we show that long-term memory can be encoded in neuronal connectivity and that the external stimulations form part of the functioning neocortical circuit. It is proposed that such binary neuron representations of point-like cortical neurons fail to reproduce cytoarchitectural differences of the neocortical organization, which has implications for inadequacies of compartmental models	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Self-wiring in neural nets of point-like cortical neurons fails to reproduce cytoarchitectural differences	ru_RU
dc.type	Articles in international journals and collections	ru_RU