Literature DB >> 11936960

Information loss in an optimal maximum likelihood decoding.

Inés Samengo1.   

Abstract

The mutual information between a set of stimuli and the elicited neural responses is compared to the corresponding decoded information. The decoding procedure is presented as an artificial distortion of the joint probabilities between stimuli and responses. The information loss is quantified. Whenever the probabilities are only slightly distorted, the information loss is shown to be quadratic in the distortion.

Mesh:

Year:  2002        PMID: 11936960     DOI: 10.1162/089976602317318947

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  9 in total

1.  Synergy, redundancy, and independence in population codes.

Authors:  Elad Schneidman; William Bialek; Michael J Berry
Journal:  J Neurosci       Date:  2003-12-17       Impact factor: 6.167

2.  The use of decoding to analyze the contribution to the information of the correlations between the firing of simultaneously recorded neurons.

Authors:  Leonardo Franco; Edmund T Rolls; Nikolaos C Aggelopoulos; Alessandro Treves
Journal:  Exp Brain Res       Date:  2004-01-13       Impact factor: 1.972

3.  Dynamic population coding of category information in inferior temporal and prefrontal cortex.

Authors:  Ethan M Meyers; David J Freedman; Gabriel Kreiman; Earl K Miller; Tomaso Poggio
Journal:  J Neurophysiol       Date:  2008-06-18       Impact factor: 2.714

4.  Information theory in neuroscience.

Authors:  Alexander G Dimitrov; Aurel A Lazar; Jonathan D Victor
Journal:  J Comput Neurosci       Date:  2011-02       Impact factor: 1.621

5.  Prefrontal Neurons Encode a Solution to the Credit-Assignment Problem.

Authors:  Wael F Asaad; Peter M Lauro; János A Perge; Emad N Eskandar
Journal:  J Neurosci       Date:  2017-06-20       Impact factor: 6.167

6.  Estimating information in time-varying signals.

Authors:  Sarah Anhala Cepeda-Humerez; Jakob Ruess; Gašper Tkačik
Journal:  PLoS Comput Biol       Date:  2019-09-03       Impact factor: 4.475

7.  Information-Theoretical Analysis of the Neural Code in the Rodent Temporal Lobe.

Authors:  Melisa B Maidana Capitán; Emilio Kropff; Inés Samengo
Journal:  Entropy (Basel)       Date:  2018-08-03       Impact factor: 2.524

8.  Assessing the Relevance of Specific Response Features in the Neural Code.

Authors:  Hugo Gabriel Eyherabide; Inés Samengo
Journal:  Entropy (Basel)       Date:  2018-11-15       Impact factor: 2.524

9.  A methodology for assessing the effect of correlations among muscle synergy activations on task-discriminating information.

Authors:  Ioannis Delis; Bastien Berret; Thierry Pozzo; Stefano Panzeri
Journal:  Front Comput Neurosci       Date:  2013-05-13       Impact factor: 2.380

  9 in total

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