Dynamical complexity in cognitive neural networks.

Abstract:

:In the last twenty years an important effort in brain sciences, especially in cognitive science, has been the development of mathematical tool that can deal with the complexity of extensive recordings corresponding to the neuronal activity obtained from hundreds of neurons. We discuss here along with some historical issues, advantages and limitations of Artificial Neural Networks (ANN) that can help to understand how simple brain circuits work and whether ANN can be helpful to understand brain neural complexity.

journal_name

Biol Res

journal_title

Biological research

authors

Goles E,Palacios AG

doi

/S0716-97602007000500009

subject

Has Abstract

pub_date

2007-01-01 00:00:00

pages

479-85

issue

4

eissn

0716-9760

issn

0717-6287

pii

S0716-97602007000500009

journal_volume

40

pub_type

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