Time Warping Reveals Hidden Features of Neuronal Population Responses

Michael Okun

doi:10.1016/j.neuron.2019.12.010

Time Warping Reveals Hidden Features of Neuronal Population Responses

Neuron. 2020 Jan 22;105(2):203-204. doi: 10.1016/j.neuron.2019.12.010.

Author

Michael Okun¹

Affiliation

¹ Centre for Systems Neuroscience and Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester LE1 7RH, UK. Electronic address: m.okun@le.ac.uk.

PMID: 31972140
DOI: 10.1016/j.neuron.2019.12.010

Abstract

Neuronal population responses can vary across trials as a result of differences in the relative timing of internal brain processes. In this issue of Neuron, Williams et al. (2020) present an algorithm for inferring and inverting such trial-to-trial differences, thereby revealing an a priori hidden, precise temporal structure of population responses.

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MeSH terms

Algorithms*
Brain
Neurons*