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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
Quantitative analysis of functional clustering of neurons in the macaque inferior temporal cortex
Hiroshi Tamura1, Hidekazu Kaneko, Ichiro Fujita
1Graduate School of Frontier Biosciences, Osaka University, Laboratory for Cognitive Neuroscience, Toyonaka, Osaka 560-8531, Japan. tamura@fbs.osaka-u.ac.jp
Abstract:
Neurons with similar preferences for two-dimensional shapes of intermediate complexity cluster in area TE of the monkey inferior temporal cortex. To further characterize the functional structure of area TE, we quantitatively analyzed various aspects of the visual responses of closely located neurons by applying multiple single-unit recording techniques in anesthetized monkeys. Examination of the visual responses elicited with a large, predetermined set of visual stimuli confirmed previous findings that nearby neurons, on average, exhibited positively correlated preferences for a set of visual stimuli. Nearby neurons also tended to be similar in their receptive-field organization and contrast-polarity preference. In contrast, no correlation was found in the size tuning of neighboring neurons. Pooling or subtraction of activities between a pair of nearby neurons was shown to improve stimulus discriminability, if the neuron pair had positively or negatively correlated stimulus preferences, respectively. These results indicate that nearby TE neurons share some aspects of stimulus preference, but their response selectivity differ in other aspects. Both pooling and subtraction between nearby neurons can reduce across-trial response variability, if these decoding strategies are applied to appropriate neuronal pools.
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