遇见数据集

Probabilistic inference of synaptic efficacies in social facilitation

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Zenodo2025-07-27 更新2026-05-26 收录
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README Overview-------- This repository contains data from two separate behavioral tasks investigating social facilitation: 1. Association Learning Task (Monkeys)2. Lateral Interception Task (Humans) 1. Association Learning Task (Monkeys)-------------------------------------- Description:This task involves non-human primates learning associations between visual stimuli and behavioral responses, under isolation or presence of conspecifics. The data captures neural activity and task performance over multiple sessions. Data Format:Preprocessed data only. Raw electrophysiological recordings are not included due to:- Data being collected under a different funding body (not part of the REPAIRS consortium)- Large file sizes that exceed Zenodo storage limits- These preprocessed data are of netCDF format, and should be loaded accordingly. Available Files:- Preprocessed neural features (e.g., firing rates, event-related potentials during both conditions) Licensing:Usage is permitted for academic and non-commercial purposes. Please cite appropriately. --- 2. Lateral Interception Task (Humans)------------------------------------- Description:Human participants performed a lateral interception task requiring them to predict and intercept a downward moving target, under isolation or presence of conspecifics. Available data:- Kinematic recordings in excel datasets (i.e., hand and target trajectories)- EEG recordings from a TMSi device in .poly5 format. TMSi provides a python module for loading such datasets. --------Citation-------- We ask that you acknowledge the use of this dataset by citing its Zenodo DOI (10.5281/zenodo.16487741), and the following publication: Esmaeili, A., Demolliens, M., Viersen, M., Ziaeemehr, A., Isbaine, F., Huguet, P., Zaal, .F, Jirsa, V., Boussaoud, .D, & Hashemi, M. (2024). Probing other’s Presence: Probabilistic Inference Across Brain Scales Reveals Enhanced Excitatory Synaptic Efficacy. bioRxiv, 2024-09. https://doi.org/10.1101/2024.09.09.612006

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2025-07-27
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