Y. Fregnac et De. Shulz, Activity-dependent regulation of receptive field properties of cat area 17by supervised Hebbian learning, J NEUROBIOL, 41(1), 1999, pp. 69-82
Most algorithms currently used to model synaptic plasticity in self-organiz
ing cortical networks suppose that the change in synaptic efficacy is gover
ned by the same structuring factor, i.e., the temporal correlation of activ
ity between pre- and postsynaptic neurons. Functional predictions generated
by such algorithms have been tested electrophysiologically in the visual c
ortex of anesthetized and paralyzed cats, Supervised learning procedures we
re 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 pro
perties, which is normally expressed during a critical period of postnatal
development. We summarize here evidence demonstrating that changes in covar
iance between afferent input and postsynaptic response imposed during extra
cellular and intracellular conditioning can acutely induce selective long-l
asting up- and down-regulations of visual responses. The functional propert
ies that could be modified in 40% of cells submitted to differential pairin
g protocols include ocular dominance, orientation selectivity and orientati
on preference, interocular orientation disparity, and the relative dominanc
e 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-depende
nt processes mag occur during development and during active phases of learn
ing under the supervision of behavioral attention or contextual signals. Su
ch potential for plasticity in primary visual cortical neurons suggests the
existence of a hidden connectivity expressing a wider functional competenc
e 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 subthresh
old extent can be unmasked by the pharmacological blockade of intracortical
inhibition. (C) 1999 John Wiley & Sons, Inc.