Literature DB >> 19109902

So many choices: what computational models reveal about decision-making mechanisms.

Emilio Salinas1.   

Abstract

Is decision making in the brain (a) optimal, (b) stochastic, (c) probabilistic, or (d) all of the above? Two papers in this issue of Neuron by Beck et al. and Furman and Wang address these questions by constructing model neural circuits capable of picking one option given multiple perceptual choices.

Mesh：

Year:  2008        PMID： 19109902     DOI： 10.1016/j.neuron.2008.12.011

Source DB:  PubMed          Journal:  Neuron        ISSN： 0896-6273            Impact factor:   17.173


  5 in total

1.  Paradoxical evidence integration in rapid decision processes.

Authors:  Johannes Rüter; Nicolas Marcille; Henning Sprekeler; Wulfram Gerstner; Michael H Herzog
Journal:  PLoS Comput Biol       Date:  2012-02-16       Impact factor: 4.475

2.  Perceptual decision making in less than 30 milliseconds.

Authors:  Terrence R Stanford; Swetha Shankar; Dino P Massoglia; M Gabriela Costello; Emilio Salinas
Journal:  Nat Neurosci       Date:  2010-01-24       Impact factor: 24.884

3.  The silent period of evidence integration in fast decision making.

Authors:  Johannes Rüter; Henning Sprekeler; Wulfram Gerstner; Michael H Herzog
Journal:  PLoS One       Date:  2013-01-21       Impact factor: 3.240

Review 4.  The influence of spatiotemporal structure of noisy stimuli in decision making.

Authors:  Andrea Insabato; Laura Dempere-Marco; Mario Pannunzi; Gustavo Deco; Ranulfo Romo
Journal:  PLoS Comput Biol       Date:  2014-04-17       Impact factor: 4.475

5.  Inter-synaptic learning of combination rules in a cortical network model.

Authors:  Frédéric Lavigne; Francis Avnaïm; Laurent Dumercy
Journal:  Front Psychol       Date:  2014-08-28
  5 in total

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