Literature DB >> 20400290

Sparse and powerful cortical spikes.

Jason Wolfe1, Arthur R Houweling, Michael Brecht.   

Abstract

Activity in cortical networks is heterogeneous, sparse and often precisely timed. The functional significance of sparseness and precise spike timing is debated, but our understanding of the developmental and synaptic mechanisms that shape neuronal discharge patterns has improved. Evidence for highly specialized, selective and abstract cortical response properties is accumulating. Singe-cell stimulation experiments demonstrate a high sensitivity of cortical networks to the action potentials of some, but not all, single neurons. It is unclear how this sensitivity of cortical networks to small perturbations comes about and whether it is a generic property of cortex. The unforeseen sensitivity to cortical spikes puts serious constraints on the nature of neural coding schemes. 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20400290     DOI: 10.1016/j.conb.2010.03.006

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  72 in total

Review 1.  A cable theory based biophysical model of resistance change in crab peripheral nerve and human cerebral cortex during neuronal depolarisation: implications for electrical impedance tomography of fast neural activity in the brain.

Authors:  Adam Liston; Richard Bayford; David Holder
Journal:  Med Biol Eng Comput       Date:  2012-04-07       Impact factor: 2.602

2.  Friction-based stabilization of juxtacellular recordings in freely moving rats.

Authors:  Lucas Herfst; Andrea Burgalossi; Kurt Haskic; John J Tukker; Martin Schmidt; Michael Brecht
Journal:  J Neurophysiol       Date:  2012-04-18       Impact factor: 2.714

3.  Subset of thin spike cortical neurons preserve the peripheral encoding of stimulus onsets.

Authors:  Frank G Lin; Robert C Liu
Journal:  J Neurophysiol       Date:  2010-10-13       Impact factor: 2.714

Review 4.  Insights into cortical mechanisms of behavior from microstimulation experiments.

Authors:  Mark H Histed; Amy M Ni; John H R Maunsell
Journal:  Prog Neurobiol       Date:  2012-01-28       Impact factor: 11.685

Review 5.  What single-cell stimulation has told us about neural coding.

Authors:  Guy Doron; Michael Brecht
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-09-19       Impact factor: 6.237

Review 6.  The external globus pallidus: progress and perspectives.

Authors:  Daniel J Hegeman; Ellie S Hong; Vivian M Hernández; C Savio Chan
Journal:  Eur J Neurosci       Date:  2016-03-28       Impact factor: 3.386

7.  Single neuron firing properties impact correlation-based population coding.

Authors:  Sungho Hong; Stéphanie Ratté; Steven A Prescott; Erik De Schutter
Journal:  J Neurosci       Date:  2012-01-25       Impact factor: 6.167

8.  Preconfigured, skewed distribution of firing rates in the hippocampus and entorhinal cortex.

Authors:  Kenji Mizuseki; György Buzsáki
Journal:  Cell Rep       Date:  2013-08-29       Impact factor: 9.423

9.  Conductance-based refractory density model of primary visual cortex.

Authors:  Anton V Chizhov
Journal:  J Comput Neurosci       Date:  2013-07-26       Impact factor: 1.621

10.  Reassessing optimal neural population codes with neurometric functions.

Authors:  Philipp Berens; Alexander S Ecker; Sebastian Gerwinn; Andreas S Tolias; Matthias Bethge
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-28       Impact factor: 11.205

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