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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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Adaptive behavior is guided by integrated representations of controlled and non-controlled information
Bingfang Huang1,2, Harrison Ritz3, Jiefeng Jiang1,2,4
1Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA 52242, USA.
Biorxiv : the Preprint Server for Biology
|August 20, 2025
Summary
This study reveals that the brain integrates both automatic (non-controlled) and goal-directed (controlled) associations into a single neural representation, guiding adaptive behaviors.
Area of Science:
- Cognitive Neuroscience
- Neuroscience of Decision Making
Background:
- Understanding neural mechanisms of adaptive behavior is essential.
- Task knowledge is encoded neurally through integrated representations.
- Controlled and non-controlled associations guide behavior.
Purpose of the Study:
- To test the theory of a conjunctive task representation.
- To investigate simultaneous neural encoding of controlled and non-controlled associations.
- To dissociate electroencephalographic (EEG) representations of these associations.
Main Methods:
- Extended the item-specific proportion congruency paradigm.
- Utilized electroencephalographic (EEG) decoding analyses.
- Conducted brain-behavioral analyses.
Main Results:
- Behavioral data confirmed association-driven adaptive behaviors.
- EEG decoding showed concurrent and differential representation of controlled and non-controlled associations.
- Stronger associations correlated with faster response times.
Conclusions:
- Findings support an integrated task representation model.
- Both controlled and non-controlled associations are governed by this integrated representation.
- This integrated system simultaneously guides adaptive behaviors.
Keywords:
adaptive behaviorcognitive controldecodingintegrated task representationitem-specific proportion congruencyrepresentational similarity analysisMore Related Videos
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