Efficient population coding of naturalistic whisker motion in the ventro-posterior medial thalamus based on precise spike timing

Bale, M. R., Ince, R. A.A. , Santagata, G. and Peterson, R. S. (2015) Efficient population coding of naturalistic whisker motion in the ventro-posterior medial thalamus based on precise spike timing. Frontiers in Neural Circuits, 9, 50. (doi: 10.3389/fncir.2015.00050)

Abstract

The rodent whisker-associated thalamic nucleus (VPM) contains a somatotopic map where whisker representation is divided into distinct neuronal sub-populations, called “barreloids”. Each barreloid projects to its associated cortical barrel column and so forms a gateway for incoming sensory stimuli to the barrel cortex. We aimed to determine how the population of neurons within one barreloid encodes naturalistic whisker motion. In rats, we recorded the extracellular activity of up to nine single neurons within a single barreloid, by implanting silicon probes parallel to the longitudinal axis of the barreloids. We found that play-back of texture-induced whisker motion evoked sparse responses, timed with millisecond precision. At the population level, there was synchronous activity: however, different subsets of neurons were synchronously active at different times. Mutual information between population responses and whisker motion increased near linearly with population size. When normalized to factor out firing rate differences, we found that texture was encoded with greater informational-efficiency than white noise. These results indicate that, within each VPM barreloid, there is a rich and efficient population code for naturalistic whisker motion based on precisely timed, population spike patterns.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ince, Dr Robin
• Authors: Bale, M. R., Ince, R. A.A., Santagata, G., and Peterson, R. S.
• College/School: College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
• Journal Name: Frontiers in Neural Circuits
• Publisher: Frontiers Research Foundation
• ISSN: 1662-5110
• ISSN (Online): 1662-5110
• Copyright Holders: Copyright © 2015 Bale, Ince, Santagata and Petersen.
• First Published: First published in Frontiers in Neural Circuits 9:50
• Publisher Policy: Reproduced under a Creative Commons License