Literature DB >> 11802918

Measuring information spatial densities.

Michele Bezzi1, Inés Samengo, Stefan Leutgeb, Sheri J Mizumori.   

Abstract

A novel definition of the stimulus-specific information is presented, which is particularly useful when the stimuli constitute a continuous and metric set, as, for example, position in space. The approach allows one to build the spatial information distribution of a given neural response. The method is applied to the investigation of putative differences in the coding of position in hippocampus and lateral septum.

Mesh:

Year:  2002        PMID: 11802918     DOI: 10.1162/08997660252741176

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


  5 in total

1.  Spatial information transfer in hippocampal place cells depends on trial-to-trial variability, symmetry of place-field firing, and biophysical heterogeneities.

Authors:  Ankit Roy; Rishikesh Narayanan
Journal:  Neural Netw       Date:  2021-07-29

2.  Spatial learning and action planning in a prefrontal cortical network model.

Authors:  Louis-Emmanuel Martinet; Denis Sheynikhovich; Karim Benchenane; Angelo Arleo
Journal:  PLoS Comput Biol       Date:  2011-05-19       Impact factor: 4.475

3.  Differences in reward biased spatial representations in the lateral septum and hippocampus.

Authors:  Hannah S Wirtshafter; Matthew A Wilson
Journal:  Elife       Date:  2020-05-26       Impact factor: 8.140

4.  Bias-free estimation of information content in temporally sparse neuronal activity.

Authors:  Liron Sheintuch; Alon Rubin; Yaniv Ziv
Journal:  PLoS Comput Biol       Date:  2022-02-11       Impact factor: 4.475

5.  Tuning curves, neuronal variability, and sensory coding.

Authors:  Daniel A Butts; Mark S Goldman
Journal:  PLoS Biol       Date:  2006-03-21       Impact factor: 8.029

  5 in total

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