| Record |
| Author |
Goles, E.; Palacios, A.G. |
| Title |
Dynamical complexity in cognitive neural networks |
Type |
|
| Year |
2007 |
Publication |
Biological Research |
Abbreviated Journal |
Biol. Res. |
| Volume |
40 |
Issue |
4 |
Pages |
479-485 |
| Keywords |
artificial; neural net; brain; dynamical complexity; computational Neurosciences; cellular automata |
| 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. |
| Address |
[Goles, Eric] Univ Adolfo Ibanez, Fac Ciencias, Santiago, Chile, Email: eric.chacc@uai.cl |
| Corporate Author |
|
Thesis |
|
| Publisher |
Soc Biolgia Chile |
Place of Publication |
|
Editor |
|
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
0716-9760 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
WOS:000256072000009 |
Approved |
|
| Call Number |
UAI @ eduardo.moreno @ |
Serial |
33 |
| Permanent link to this record |
