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Partitioning neuronal variability
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Journal Article
Partitioning neuronal variability
2014
Overview
The authors developed a model of neuron firing in which spike generation arises from the combination of sensory drive and stimulus-independent modulatory influences. This model provides an accurate account of neuron responses in multiple visual areas, suggesting that variability originates from excitability fluctuations that increase in strength along the visual pathway.
Responses of sensory neurons differ across repeated measurements. This variability is usually treated as stochasticity arising within neurons or neural circuits. However, some portion of the variability arises from fluctuations in excitability due to factors that are not purely sensory, such as arousal, attention and adaptation. To isolate these fluctuations, we developed a model in which spikes are generated by a Poisson process whose rate is the product of a drive that is sensory in origin and a gain summarizing stimulus-independent modulatory influences on excitability. This model provides an accurate account of response distributions of visual neurons in macaque lateral geniculate nucleus and cortical areas V1, V2 and MT, revealing that variability originates in large part from excitability fluctuations that are correlated over time and between neurons, and that increase in strength along the visual pathway. The model provides a parsimonious explanation for observed systematic dependencies of response variability and covariability on firing rate.
Publisher
Nature Publishing Group US,Nature Publishing Group
Subject
