Computational bases of action anticipation superiority in experts: Identifying and mapping kinematic invariants
收藏NIAID Data Ecosystem2026-05-02 收录
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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



