Literature DB >> 11836521

Evolutionary autonomous agents: a neuroscience perspective.

Eytan Ruppin1.   

Abstract

In this article, I discuss the use of neurally driven evolutionary autonomous agents (EAAs) in neuroscientific investigations. Two fundamental questions are addressed. Can EAA studies shed new light on the structure and function of biological nervous systems? And can these studies lead to the development of new tools for neuroscientific analysis? The value and significant potential of EAA modelling in both respects is demonstrated and discussed. Although the study of EAAs for neuroscience research still faces difficult conceptual and technical challenges, it is a promising and timely endeavour.

Mesh:

Year:  2002        PMID: 11836521     DOI: 10.1038/nrn729

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  7 in total

1.  Systematic perturbation of an artificial neural network: A step towards quantifying causal contributions in the brain.

Authors:  Kayson Fakhar; Claus C Hilgetag
Journal:  PLoS Comput Biol       Date:  2022-06-17       Impact factor: 4.779

Review 2.  Making decisions with a continuous mind.

Authors:  S Scherbaum; M Dshemuchadse; A Kalis
Journal:  Cogn Affect Behav Neurosci       Date:  2008-12       Impact factor: 3.282

3.  Inevitable evolutionary temporal elements in neural processing: a study based on evolutionary simulations.

Authors:  Uri Yerushalmi; Mina Teicher
Journal:  PLoS One       Date:  2008-04-02       Impact factor: 3.240

4.  Evolutionary autonomous agents and the nature of apraxia.

Authors:  Donald S Borrett; Frank Jin; Hon C Kwan
Journal:  Biomed Eng Online       Date:  2005-01-04       Impact factor: 2.819

5.  Evolving synaptic plasticity with an evolutionary cellular development model.

Authors:  Uri Yerushalmi; Mina Teicher
Journal:  PLoS One       Date:  2008-11-11       Impact factor: 3.240

6.  Modeling habits as self-sustaining patterns of sensorimotor behavior.

Authors:  Matthew D Egbert; Xabier E Barandiaran
Journal:  Front Hum Neurosci       Date:  2014-08-08       Impact factor: 3.169

7.  Predicting adaptive behavior in the environment from central nervous system dynamics.

Authors:  Alex Proekt; Jane Wong; Yuriy Zhurov; Nataliya Kozlova; Klaudiusz R Weiss; Vladimir Brezina
Journal:  PLoS One       Date:  2008-11-07       Impact factor: 3.240

  7 in total

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