Literature DB >> 10504194

Activity-dependent regulation of receptive field properties of cat area 17 by supervised Hebbian learning.

Y Frégnac1, D E Shulz.   

Abstract

Most algorithms currently used to model synaptic plasticity in self-organizing cortical networks suppose that the change in synaptic efficacy is governed by the same structuring factor, i.e., the temporal correlation of activity between pre- and postsynaptic neurons. Functional predictions generated by such algorithms have been tested electrophysiologically in the visual cortex of anesthetized and paralyzed cats. Supervised learning procedures were applied at the cellular level to change receptive field (RF) properties during the time of recording of an individual functionally identified cell. The protocols were devised as cellular analogs of the plasticity of RF properties, which is normally expressed during a critical period of postnatal development. We summarize here evidence demonstrating that changes in covariance between afferent input and postsynaptic response imposed during extracellular and intracellular conditioning can acutely induce selective long-lasting up- and down-regulations of visual responses. The functional properties that could be modified in 40% of cells submitted to differential pairing protocols include ocular dominance, orientation selectivity and orientation preference, interocular orientation disparity, and the relative dominance of ON and OFF responses. Since changes in RF properties can be induced in the adult as well, our findings also suggest that similar activity-dependent processes may occur during development and during active phases of learning under the supervision of behavioral attention or contextual signals. Such potential for plasticity in primary visual cortical neurons suggests the existence of a hidden connectivity expressing a wider functional competence than the one revealed at the spiking level. In particular, in the spatial domain the sensory synaptic integration field is larger than the classical discharge field. It can be shaped by supervised learning and its subthreshold extent can be unmasked by the pharmacological blockade of intracortical inhibition. Copyright 1999 John Wiley & Sons, Inc.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10504194

Source DB:  PubMed          Journal:  J Neurobiol        ISSN: 0022-3034


  15 in total

1.  How simple cells are made in a nonlinear network model of the visual cortex.

Authors:  D J Wielaard; M Shelley; D McLaughlin; R Shapley
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

Review 2.  Is there a thalamic component to experience-dependent cortical plasticity?

Authors:  Kevin Fox; Helen Wallace; Stanislaw Glazewski
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-12-29       Impact factor: 6.237

Review 3.  Target and temporal pattern selection at neocortical synapses.

Authors:  Alex M Thomson; A Peter Bannister; Audrey Mercer; Oliver T Morris
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-12-29       Impact factor: 6.237

4.  A computational model of mechanisms controlling experience-dependent reorganization of representational maps in auditory cortex.

Authors:  E Mercado; C E Myers; M A Gluck
Journal:  Cogn Affect Behav Neurosci       Date:  2001-03       Impact factor: 3.282

5.  Modulation of spike timing by sensory deprivation during induction of cortical map plasticity.

Authors:  Tansu Celikel; Vanessa A Szostak; Daniel E Feldman
Journal:  Nat Neurosci       Date:  2004-04-04       Impact factor: 24.884

6.  Experience-dependent plasticity in S1 caused by noncoincident inputs.

Authors:  David T Blake; Fabrizio Strata; Richard Kempter; Michael M Merzenich
Journal:  J Neurophysiol       Date:  2005-09       Impact factor: 2.714

Review 7.  The BCM theory of synapse modification at 30: interaction of theory with experiment.

Authors:  Leon N Cooper; Mark F Bear
Journal:  Nat Rev Neurosci       Date:  2012-11       Impact factor: 34.870

8.  Spike timing-dependent synaptic depression in the in vivo barrel cortex of the rat.

Authors:  Vincent Jacob; Daniel J Brasier; Irina Erchova; Dan Feldman; Daniel E Shulz
Journal:  J Neurosci       Date:  2007-02-07       Impact factor: 6.167

9.  Association Fields via Cuspless Sub-Riemannian Geodesics in SE(2).

Authors:  R Duits; U Boscain; F Rossi; Y Sachkov
Journal:  J Math Imaging Vis       Date:  2014       Impact factor: 1.627

Review 10.  Phenomenological models of synaptic plasticity based on spike timing.

Authors:  Abigail Morrison; Markus Diesmann; Wulfram Gerstner
Journal:  Biol Cybern       Date:  2008-05-20       Impact factor: 2.086

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.