DOI: 10.57760/sciencedb.psych.00494
title: A dataset of "Hierarchical and Distinct Biological Motion Processing in Macaque Visual Cortical Areas MT and MST"
title: A dataset of "Hierarchical and Distinct Biological Motion Processing in Macaque Visual Cortical Areas MT and MST"

description: Primates excel at detecting the body movements of other animals in the environment. It is widely accepted that biological motion (BM) perception involves the posterior superior temporal sulcus (pSTS). Yet, how individual neurons and neural circuits in pSTS encode BM remains unclear. Here we combined electrophysiological recordings with neural network modeling to elucidate BM computations in two subregions of pSTS. We recorded single-cell spiking activity from the middle temporal area (MT) and the medial superior temporal area (MST) of three macaque monkeys when they viewed point-light displays portraying BM walking in different directions (left vs. right), orientations (upright vs. inverted), and forms (intact vs. scrambled). So, raw data in this study is the spiking activities of MT and MST cells of macaque monkeys.We found that, while individual neurons in both MT and MST showed selectivity for these features, neural populations in MST but not MT exhibit BM-specific encoding, i.e., preferential representation of intact upright BM – the defining characteristic of BM recognition.Based on these data, a two-layered spiking neural network model was trained to replicate these neurophysiological findings. The results implicated that, BM-specific encoding in MST may arise from feedforward connectivity patterns, i.e., MT subpopulations selective for linear translational motion and nonlinear optic flow projected preferentially to distinct MST cells.
description: Primates excel at detecting the body movements of other animals in the environment. It is widely accepted that biological motion (BM) perception involves the posterior superior temporal sulcus (pSTS). Yet, how individual neurons and neural circuits in pSTS encode BM remains unclear. Here we combined electrophysiological recordings with neural network modeling to elucidate BM computations in two subregions of pSTS. We recorded single-cell spiking activity from the middle temporal area (MT) and the medial superior temporal area (MST) of three macaque monkeys when they viewed point-light displays portraying BM walking in different directions (left vs. right), orientations (upright vs. inverted), and forms (intact vs. scrambled). So, raw data in this study is the spiking activities of MT and MST cells of macaque monkeys.We found that, while individual neurons in both MT and MST showed selectivity for these features, neural populations in MST but not MT exhibit BM-specific encoding, i.e., preferential representation of intact upright BM – the defining characteristic of BM recognition.Based on these data, a two-layered spiking neural network model was trained to replicate these neurophysiological findings. The results implicated that, BM-specific encoding in MST may arise from feedforward connectivity patterns, i.e., MT subpopulations selective for linear translational motion and nonlinear optic flow projected preferentially to distinct MST cells.