Literature DB >> 25284340

Encoding whisker deflection velocity within the rodent barrel cortex using phase-delayed inhibition.

Runjing Liu1, Mainak Patel, Badal Joshi.   

Abstract

The primary sensory feature represented within the rodent barrel cortex is the velocity with which a whisker has been deflected. Whisker deflection velocity is encoded within the thalamus via population synchrony (higher deflection velocities entail greater synchrony among the corresponding thalamic population). Thalamic (TC) cells project to regular spiking (RS) cells within the barrel cortex, as well as to inhibitory cortical fast-spiking (FS) neurons, which in turn project to RS cells. Thus, TC spikes result in EPSPs followed, with a small time lag, by IPSPs within an RS cell, and hence the RS cell decodes TC population synchrony by employing a phase-delayed inhibition synchrony detection scheme. As whisker deflection velocity is increased, the probability that an RS cell spikes rises, while jitter in the timing of RS cell spikes remains constant. Furthermore, repeated whisker deflections with fixed velocity lead to system adaptation--TC →RS, TC →FS, and FS →RS synapses all weaken substantially, leading to a smaller probability of spiking of the RS cell and increased jitter in the timing of RS cell spikes. Interestingly, RS cell activity is better able to distinguish among different whisker deflection velocities after adaptation. In this work, we construct a biophysical model of a basic 'building block' of barrel cortex - the feedforward circuit consisting of TC cells, FS cells, and a single RS cell - and we examine the ability of the purely feedforward circuit to explain the experimental data on RS cell spiking probability, jitter, adaptation, and deflection velocity discrimination. Moreover, we study the contribution of the phase-delayed inhibition network structure to the ability of an RS cell to decode whisker deflection velocity encoded via TC population synchrony.

Entities:  

Mesh:

Year:  2014        PMID: 25284340     DOI: 10.1007/s10827-014-0535-3

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  46 in total

1.  Circuit dynamics and coding strategies in rodent somatosensory cortex.

Authors:  D J Pinto; J C Brumberg; D J Simons
Journal:  J Neurophysiol       Date:  2000-03       Impact factor: 2.714

2.  EPSP amplification and the precision of spike timing in hippocampal neurons.

Authors:  D Fricker; R Miles
Journal:  Neuron       Date:  2000-11       Impact factor: 17.173

3.  Dynamics of excitation and inhibition underlying stimulus selectivity in rat somatosensory cortex.

Authors:  W Bryan Wilent; Diego Contreras
Journal:  Nat Neurosci       Date:  2005-09-11       Impact factor: 24.884

4.  Synaptic basis for intense thalamocortical activation of feedforward inhibitory cells in neocortex.

Authors:  Scott J Cruikshank; Timothy J Lewis; Barry W Connors
Journal:  Nat Neurosci       Date:  2007-03-04       Impact factor: 24.884

5.  A simple connectivity scheme for sparse coding in an olfactory system.

Authors:  Ron A Jortner; S Sarah Farivar; Gilles Laurent
Journal:  J Neurosci       Date:  2007-02-14       Impact factor: 6.167

6.  Informational basis of sensory adaptation: entropy and single-spike efficiency in rat barrel cortex.

Authors:  Mehdi Adibi; Colin W G Clifford; Ehsan Arabzadeh
Journal:  J Neurosci       Date:  2013-09-11       Impact factor: 6.167

Review 7.  Synchronous oscillations in neuronal systems: mechanisms and functions.

Authors:  C M Gray
Journal:  J Comput Neurosci       Date:  1994-06       Impact factor: 1.621

8.  Organisation of the tectorotundal and SP/IPS-rotundal projections in the chick.

Authors:  C Deng; L J Rogers
Journal:  J Comp Neurol       Date:  1998-05-04       Impact factor: 3.215

9.  A quantitative population model of whisker barrels: re-examining the Wilson-Cowan equations.

Authors:  D J Pinto; J C Brumberg; D J Simons; G B Ermentrout
Journal:  J Comput Neurosci       Date:  1996-09       Impact factor: 1.621

10.  Thalamocortical response transformations in simulated whisker barrels.

Authors:  H T Kyriazi; D J Simons
Journal:  J Neurosci       Date:  1993-04       Impact factor: 6.167

View more
  2 in total

1.  A model of lateral interactions as the origin of multiwhisker receptive fields in rat barrel cortex.

Authors:  Linda Ma; Mainak Patel
Journal:  J Comput Neurosci       Date:  2021-12-01       Impact factor: 1.621

2.  Effects of Adaptation on Discrimination of Whisker Deflection Velocity and Angular Direction in a Model of the Barrel Cortex.

Authors:  Mainak J Patel
Journal:  Front Comput Neurosci       Date:  2018-06-12       Impact factor: 2.380

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.