Literature DB >> 25291636

Neural coding: sparse but on time.

Peter Kloppenburg1, Martin Paul Nawrot2.   

Abstract

To code information efficiently, sensory systems use sparse representations. In a sparse code, a specific stimulus activates only few spikes in a small number of neurons. A new study shows that the temporal pattern across sparsely activated neurons encodes information, suggesting that the sparse code extends into the time domain.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2014        PMID: 25291636     DOI: 10.1016/j.cub.2014.08.041

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  3 in total

1.  A Mechanistic Model for Reward Prediction and Extinction Learning in the Fruit Fly.

Authors:  Magdalena Springer; Martin Paul Nawrot
Journal:  eNeuro       Date:  2021-06-16

2.  Circuit and Cellular Mechanisms Facilitate the Transformation from Dense to Sparse Coding in the Insect Olfactory System.

Authors:  Rinaldo Betkiewicz; Benjamin Lindner; Martin P Nawrot
Journal:  eNeuro       Date:  2020-04-10

3.  Electrical synapses between inhibitory neurons shape the responses of principal neurons to transient inputs in the thalamus: a modeling study.

Authors:  Tuan Pham; Julie S Haas
Journal:  Sci Rep       Date:  2018-05-17       Impact factor: 4.379

  3 in total

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