Response to contrast of electrophysiologically defined cell classes in primary visual cortex.
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.
Contreras
Diego
D
Department of Neuroscience, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19106-6074, USA. diegoc@mail.med.upenn.edu
Palmer
Larry
L
D000200:Action Potentials / Q000502:physiology; D000818:Animals; D002415:Cats; D015350:Contrast Sensitivity / Q000502:physiology*; D004558:Electric Stimulation; D008564:Membrane Potentials / Q000502:physiology; D008839:Microelectrodes; D009415:Nerve Net / Q000502:physiology; D009474:Neurons / Q000145:classification / Q000502:physiology*; D010775:Photic Stimulation / Q000379:methods; D018709:Statistics, Nonparametric; D014793:Visual Cortex / Q000166:cytology* / Q000502:physiology*