Literature DB >> 25024291

Spike count, spike timing and temporal information in the cortex of awake, freely moving rats.

Alessandro Scaglione1, Guglielmo Foffani, Karen A Moxon.   

Abstract

OBJECTIVE: Sensory processing of peripheral information is not stationary but is, in general, a dynamic process related to the behavioral state of the animal. Yet the link between the state of the behavior and the encoding properties of neurons is unclear. This report investigates the impact of the behavioral state on the encoding mechanisms used by cortical neurons for both detection and discrimination of somatosensory stimuli in awake, freely moving, rats. APPROACH: Neuronal activity was recorded from the primary somatosensory cortex of five rats under two different behavioral states (quiet versus whisking) while electrical stimulation of increasing stimulus strength was delivered to the mystacial pad. Information theoretical measures were then used to measure the contribution of different encoding mechanisms to the information carried by neurons in response to the whisker stimulation. MAIN
RESULTS: We found that the behavioral state of the animal modulated the total amount of information conveyed by neurons and that the timing of individual spikes increased the information compared to the total count of spikes alone. However, the temporal information, i.e. information exclusively related to when the spikes occur, was not modulated by behavioral state. SIGNIFICANCE: We conclude that information about somatosensory stimuli is modulated by the behavior of the animal and this modulation is mainly expressed in the spike count while the temporal information is more robust to changes in behavioral state.

Entities:  

Mesh:

Year:  2014        PMID: 25024291      PMCID: PMC4175710          DOI: 10.1088/1741-2560/11/4/046022

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  57 in total

Review 1.  Information theory and neural coding.

Authors:  A Borst; F E Theunissen
Journal:  Nat Neurosci       Date:  1999-11       Impact factor: 24.884

2.  Rate coding versus temporal order coding: what the retinal ganglion cells tell the visual cortex.

Authors:  R Van Rullen; S J Thorpe
Journal:  Neural Comput       Date:  2001-06       Impact factor: 2.026

3.  A unified approach to the study of temporal, correlational, and rate coding.

Authors:  S Panzeri; S R Schultz
Journal:  Neural Comput       Date:  2001-06       Impact factor: 2.026

4.  Representation of auditory space by cortical neurons in awake cats.

Authors:  Brian J Mickey; John C Middlebrooks
Journal:  J Neurosci       Date:  2003-09-24       Impact factor: 6.167

5.  A spike-timing code for discriminating conspecific vocalizations in the thalamocortical system of anesthetized and awake guinea pigs.

Authors:  Chloé Huetz; Bénédicte Philibert; Jean-Marc Edeline
Journal:  J Neurosci       Date:  2009-01-14       Impact factor: 6.167

6.  Computational role of large receptive fields in the primary somatosensory cortex.

Authors:  Guglielmo Foffani; John K Chapin; Karen A Moxon
Journal:  J Neurophysiol       Date:  2008-04-09       Impact factor: 2.714

7.  Trial-to-trial variability in the responses of neurons carries information about stimulus location in the rat whisker thalamus.

Authors:  Alessandro Scaglione; Karen A Moxon; Juan Aguilar; Guglielmo Foffani
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-22       Impact factor: 11.205

8.  Deciphering the spike train of a sensory neuron: counts and temporal patterns in the rat whisker pathway.

Authors:  Ehsan Arabzadeh; Stefano Panzeri; Mathew E Diamond
Journal:  J Neurosci       Date:  2006-09-06       Impact factor: 6.167

9.  Information Carried by Population Spike Times in the Whisker Sensory Cortex can be Decoded Without Knowledge of Stimulus Time.

Authors:  Stefano Panzeri; Mathew E Diamond
Journal:  Front Synaptic Neurosci       Date:  2010-06-14

10.  Basal forebrain activation enhances cortical coding of natural scenes.

Authors:  Michael Goard; Yang Dan
Journal:  Nat Neurosci       Date:  2009-10-04       Impact factor: 24.884

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  3 in total

1.  Adaptation of Thalamic Neurons Provides Information about the Spatiotemporal Context of Stimulus History.

Authors:  Chen Liu; Guglielmo Foffani; Alessandro Scaglione; Juan Aguilar; Karen A Moxon
Journal:  J Neurosci       Date:  2017-09-12       Impact factor: 6.167

2.  Sensory representation of visual stimuli in the coupling of low-frequency phase to spike times.

Authors:  Mohammad Zarei; Mehran Jahed; Mohsen Parto Dezfouli; Mohammad Reza Daliri
Journal:  Brain Struct Funct       Date:  2022-02-01       Impact factor: 3.270

3.  Markerless Rat Behavior Quantification With Cascade Neural Network.

Authors:  Tianlei Jin; Feng Duan; Zhenyu Yang; Shifan Yin; Xuyi Chen; Yu Liu; Qingyu Yao; Fengzeng Jian
Journal:  Front Neurorobot       Date:  2020-10-27       Impact factor: 2.650

  3 in total

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