PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Stimulus onset quashes neural variability: a widespread cortical phenomenon
M.M. Churchland, B.M. Yu, John Cunningham, L.P. Sugrue, G.S. Corrado, M.R. Cohen, W.T. Newsome, A.M. Clark, P. Hosseini, D.C. Bradley, B.B. Scott, M.A. Smith, A. Kohn, J.A. Movshon, K.M. Armstrong, T. Moore, S.W. Chang, L.H. Snyder, S.I. Ryu, G. Santhanam, Maneesh Sahani and K.V. Shenoy
Nature Neuroscience 2010.

Abstract

Neural responses are typically characterized by computing the mean firing rate, but response variability can exist across trials. Many studies have examined the effect of a stimulus on the mean response, but few have examined the effect on response variability. We measured neural variability in 13 extracellularly recorded datasets and one intracellularly recorded dataset from seven areas spanning the four cortical lobes in monkeys and cats. In every case, stimulus onset caused a decline in neural variability. This occurred even when the stimulus produced little change in mean firing rate. The variability decline was observed in membrane potential recordings, in the spiking of individual neurons and in correlated spiking variability measured with implanted 96-electrode arrays. The variability decline was observed for all stimuli tested, regardless of whether the animal was awake, behaving or anaesthetized. This widespread variability decline suggests a rather general property of cortex, that its state is stabilized by an input.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
Theory & Algorithms
ID Code:5789
Deposited By:John Cunningham
Deposited On:08 March 2010