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Stimulus Onset Quenches Neural Variability: a Widespread Cortical Phenomenon

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.

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References
1.
Finn I, Priebe N, Ferster D . The emergence of contrast-invariant orientation tuning in simple cells of cat visual cortex. Neuron. 2007; 54(1):137-52. PMC: 1993919. DOI: 10.1016/j.neuron.2007.02.029. View

2.
Sussillo D, Abbott L . Generating coherent patterns of activity from chaotic neural networks. Neuron. 2009; 63(4):544-57. PMC: 2756108. DOI: 10.1016/j.neuron.2009.07.018. View

3.
Carandini M . Amplification of trial-to-trial response variability by neurons in visual cortex. PLoS Biol. 2004; 2(9):E264. PMC: 509408. DOI: 10.1371/journal.pbio.0020264. View

4.
Rickert J, Riehle A, Aertsen A, Rotter S, Nawrot M . Dynamic encoding of movement direction in motor cortical neurons. J Neurosci. 2009; 29(44):13870-82. PMC: 6666727. DOI: 10.1523/JNEUROSCI.5441-08.2009. View

5.
Priebe N, Churchland M, Lisberger S . Constraints on the source of short-term motion adaptation in macaque area MT. I. the role of input and intrinsic mechanisms. J Neurophysiol. 2002; 88(1):354-69. PMC: 2581621. DOI: 10.1152/jn.00852.2001. View