Abstract

Learning a sensory detection task leads to an increased primary sensory cortex response to the detected stimulus, while learning a sensory discrimination task additionally leads to a decreased sensory cortex response to the distractor stimulus. Neural responses are scaled up, and down, in strength, along with concomitant changes in receptive field size. The present work considers neural response properties that are invariant to learning. Data are drawn from two animals that were trained to detect and discriminate spatially separate taps delivered to positions on the skin of their fingers. Each animal was implanted with electrodes positioned in area 3b, and responses were derived on a near daily basis over 84days in animal 1 and 202days in animal 2. Responses to taps delivered in the receptive field were quantitatively measured each day, and receptive fields were audiomanually mapped each day. In the subset of responses that had light cutaneous receptive fields, a preponderance of the days, the most sensitive region of the field was invariant to training. This skin region was present in the receptive field on all, or nearly all, occasions in which the receptive field was mapped, and this region constituted roughly half of the most sensitive region. These results suggest that maintaining the most sensitive inputs as dominant in cortical receptive fields provide a measure of stability that may be transformationally useful for minimizing reconstruction errors and perceptual constancy.

Highlights

  • Sensory signals in touch initiate at the finger tips, proceed through two synaptic stations, before arriving at the cerebral cortex

  • We show that the most sensitive zones in the receptive field at each cortical location have subregions that are present on all days in which receptive fields are measured

  • Recordings and receptive field maps were derived from 63 implanted electrodes

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Summary

Introduction

Sensory signals in touch initiate at the finger tips, proceed through two synaptic stations, before arriving at the cerebral cortex. The fine organization of the hand map includes adjacent and largely non–overlapping suprathreshold, or action potential-based, responses for each digit (Merzenich et al 1978). Interleaved in the hand map are patches of representation of the hairy skin. In response to a loss of inputs, that is, in digit amputation, the deafferented cortical region becomes activated by immediately adjacent inputs (Merzenich et al 1984). If an animal responds to stimuli that activate the adjacent digits simultaneously, the borders between digital representations are erased (Wang et al 1995b). These observations led to a theory that Hebbian principles provided a first approximation to understand-

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