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Author (up) Goles, E.; Palacios, A.G. pdf  doi
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  Title Dynamical complexity in cognitive neural networks Type Journal Article
  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  
  Series Volume Series Issue Edition  
  ISSN 0716-9760 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000256072000009 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 33  
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