ArticleCerebral cortex (New York, N.Y. : 1991)2013
Neuronal variability of MSTd neurons changes differentially with eye movement and visually related variables.
Article in Cerebral cortex (New York, N.Y. : 1991), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Behavioral Context Determines Network State and Variability Dynamics in Monkey Motor Cortex.Frontiers in neural circuits · 2018Article
- Posterior Parietal Cortex Guides Visual Decisions in Rats.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- Distinct dynamics of ramping activity in the frontal cortex and caudate nucleus in monkeys.Journal of neurophysiology · 2015Article
- Texture-dependent motion signals in primate middle temporal area.The Journal of physiology · 2013Article
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4 authors.
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Abstract
Neurons in macaque cortical area MSTd are driven by visual motion and eye movement related signals. This multimodal characteristic makes MSTd an ideal system for studying the dependence of neuronal activity on different variables. Here, we analyzed the temporal structure of spiking patterns during visual motion stimulation using 2 distinct behavioral paradigms: fixation (FIX) and optokinetic response. For the FIX condition, inter- and intra-trial variability of spiking activity decreased with increasing stimulus strength, complying with a recent neurophysiological study reporting stimulus-related decline of neuronal variability. In contrast, for the optokinetic condition variability increased together with increasing eye velocity while retinal image velocity remained low. Analysis of stimulus signal variability revealed a correlation between the normalized variance of image velocity and neuronal variability, but no correlation with normalized eye velocity variance. We further show that the observed difference in neuronal variability allows classifying spike trains according to the paradigm used, even when mean firing rates (FRs) were similar. The stimulus-dependence of neuronal variability may result from the local network structure and/or the variability characteristics of the input signals, but may also reflect additional timing-based mechanisms independent of the neuron's mean FR and related to the modality driving the neuron.
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