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Computational role of large receptive fields in the primary somatosensory cortex
Journal article   Open access   Peer reviewed

Computational role of large receptive fields in the primary somatosensory cortex

Guglielmo Foffani, John K. Chapin and Karen A. Moxon
Journal of neurophysiology, v 100(1), pp 268-280
01 Jul 2008
DOI: https://doi.org/10.1152/jn.01015.2007
PMID: 18400959
url
https://doi.org/10.1152/jn.01015.2007View
Published, Version of Record (VoR)Open Access (License Unspecified),  Open

Abstract

Life Sciences & Biomedicine Neurosciences Neurosciences & Neurology Physiology Science & Technology
Computational studies are challenging the intuitive view that neurons with broad tuning curves are necessarily less discriminative than neurons with sharp tuning curves. In the context of somatosensory processing, broad tuning curves are equivalent to large receptive fields. To clarify the computational role of large receptive fields for cortical processing of somatosensory information, we recorded ensembles of single neurons from the infragranular forelimb/forepaw region of the rat primary somatosensory cortex while tactile stimuli were separately delivered to different locations on the forelimbs/forepaws under light anesthesia. We specifically adopted the perspective of individual columns/segregates receiving inputs from multiple body location. Using single-trial analyses of many single-neuron responses, we obtained two main results. 1) The responses of even small populations of neurons recorded from within the same estimated column/segregate can be used to discriminate between stimuli delivered to different surround locations in the excitatory receptive fields. 2) The temporal precision of surround responses is sufficiently high for spike timing to add information over spike count in the discrimination between surround locations. This surround spike-timing code (i) is particularly informative when spike count is ambiguous, e. g., in the discrimination between close locations or when receptive fields are large, (ii) becomes progressively more informative as the number of neurons increases, (iii) is a first-spike code, and (iv) is not limited by the assumption that the time of stimulus onset is known. These results suggest that even though large receptive fields result in a loss of spatial selectivity of single neurons, they can provide as a counterpart a sophisticated temporal code based on latency differences in large populations of neurons without necessarily sacrificing basic information about stimulus location.

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