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Computational bases of action anticipation superiority in experts: Identifying and mapping kinematic invariants

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NIAID Data Ecosystem2026-05-02 收录
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https://data.mendeley.com/datasets/w36b55bxm6
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资源简介:
experiment data.xlsx Store all the experiment data of subject and single-trial level. Data were used for establishing encoding and readout models under the kinematic coding framework. Sheet Execution: Kinematic data of all stimuli. VIDEO_NAME: the code of each stimulus. CONDITION: action types. OUTCOME: actual outcomes of actions. 1-Left; 2-Right. Nose_x_1 ~ LHip_y_5: kinematic data Sheet Coding: Description of the data file. Sheet Observation: behavioral data of two tasks SUBJECT_ID: ID of subjects SUBJECT_GROUP: 1-Experts; 2-Noivces. CONDITION: 1-Normal display videos; 2-Point-light display videos. OUTCOME: actual outcomes of actions(1: left; 2: right). VIDEO_NAME: the code of each stimulus. ACCURACY: Task performance. 1-correct; 2-incorrect. SUBJECT_RESPONSE: response of each subject in each trial. 1-Left; 2-Right. RESPONSE_TIME: response time of each subject in each trial(ms). Sheet Results: Subject-level results.
创建时间:
2025-03-04
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