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The Journal of Neuroscience, July 30, 2003, 23(17):6936-6945
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Response to Contrast of Electrophysiologically Defined Cell Classes in Primary Visual Cortex
Diego Contreras and
Larry Palmer
Department of Neuroscience, University of Pennsylvania School of
Medicine, Philadelphia, Pennsylvania 19106
Information processing in the visual cortex is critically dependent on the
input-output relationships of its component neurons. The transformation of
synaptic inputs into spike trains depends in turn on the host of intrinsic
membrane properties expressed by neurons, which define established
electrophysiological cell classes in the neocortex. Here we studied, with
intracellular recordings in vivo, how the electrophysiological cell
classes in the primary visual cortex transform an increasing input,
represented by stimulus contrast, into membrane depolarization and trains of
action potentials. We used contrast as input because, regardless of their
stimulus selectivity, primary visual cortical cells increase their firing
rates in response to increases in luminance contrast. We found that both the
spike rate response and the membrane potential response are best described by
the hyperbolic ratio function when compared with linear, power, and
logarithmic functions. In addition, both responses show similar parameter
values and similar residual variance from the fits to all four functions. We
also found that changes in membrane potential are similar, but firing rates
differ strongly, between the established electrophysiological cell classes:
fast spiking neurons show the highest firing rates, followed by fast rhythmic
bursting, and regular spiking (RS) cells. In addition, among complex cells, RS
cells from supragranular layers fired at higher rates than RS cells from
infragranular layers. Finally, we show that the differences in firing rates
between cell classes arise from differences in the slope of the relationship
between membrane potential and spike rate.
Key words: contrast; visual cortex; intrinsic properties; intracellular; in vivo; simple; complex
Received Apr. 7, 2003;
revised May. 29, 2003;
accepted Jun. 6, 2003.
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