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Thermodynamic fluctuation theorems govern human sensorimotor learning
P Hack1, C Lindig-Leon2, S Gottwald2
1Institute of Neural Information Processing, Ulm University, Ulm, 89081, Germany. phpedrohack@gmail.com.
This study tests fluctuation theorems in human sensorimotor learning. Findings suggest human adaptation in visuomotor tasks aligns with thermodynamic predictions, validating these theories in biological learning systems.
Area of Science:
- Thermodynamics
- Learning Systems
- Human Sensorimotor Learning
Background:
- Thermodynamic reasoning has a long history in studying learning systems.
- Recent developments include fluctuation theorems relating perfect thermodynamic adaptation to adaptation processes.
- These theorems are experimentally validated in physical systems and broadly applicable mathematically.
Purpose of the Study:
- To experimentally test the applicability of fluctuation theorems in human sensorimotor learning.
- To investigate the relationship between adaptive movement trajectories and steady-state behavior in a visuomotor rotation task.
Main Methods:
- Participants performed a visuomotor rotation task with changing rotations.
- Adaptive movement trajectories were analyzed.
- Behavior was related to fully adapted steady-state behavior.
Main Results:
- Human adaptive behavior in the visuomotor task was generally consistent with fluctuation theorem predictions.
- The study provides empirical evidence for the application of fluctuation theorems in biological learning.
Conclusions:
- Fluctuation theorems appear applicable to human sensorimotor learning.
- The findings support the integration of thermodynamic principles into understanding biological adaptation.
- Further discussion on the merits and limitations of this thermodynamic approach is warranted.
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