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

Description

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.

Steps to reproduce

Analysis codes can be found in https://github.com/Qiwei-Zhao/computational-bases-of-action-anticipation-superiority-in-experts

Institutions

Categories

Funding

Licence