КФУ. Карточка публикации. Self-wiring in neural nets of point-like cortical neurons fails to reproduce cytoarchitectural differences

КАЗАНСКИЙ
ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ

RUS

- EN
- 中文
- ES

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

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2006

Авторы, сотрудники КФУ

Гафаров Фаиль Мубаракович, автор

Библиографическое описание на языке оригинала

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

Аннотация

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

Ключевые слова

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

Название журнала

Journal of Integrative Neuroscience

URL

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

Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку

https://repository.kpfu.ru/?p_id=89248

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Гафаров Фаиль Мубаракович	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/?p_id=89248	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	Статьи в зарубежных журналах и сборниках	ru_RU