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The brain and its time: intrinsic neural timescales are key for input processing
Mehrshad Golesorkhi1,2, Javier Gomez-Pilar3,4, Federico Zilio5
1School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada.
Communications Biology
|August 17, 2021
Summary
The brain processes information across multiple timescales using intrinsic neural timescales (INT). These timescales are crucial for encoding and integrating environmental inputs, impacting cognition and AI development.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Cognitive Science
Background:
- The brain exhibits complex multiscale temporal organization.
- Different brain regions possess distinct intrinsic neural timescales (INT).
- The precise function and neural mechanisms of INT remain largely unclear.
Purpose of the Study:
- To review the literature on intrinsic neural timescales (INT).
- To propose INT as key mechanisms for neural input processing.
- To explore the implications of INT for understanding cognition and AI.
Main Methods:
- Literature review of recent studies on INT.
- Analysis of simulation and empirical data related to neural timescales.
- Conceptual framework development for INT in input processing.
Main Results:
- INT are shared across species, suggesting a role in input sharing.
- INT facilitate input encoding by matching input statistics with neural activity.
- Key temporal mechanisms include input integration/segregation and sampling.
Conclusions:
- INT are fundamental to how the brain processes environmental inputs.
- Understanding INT has implications for mental disorders and artificial intelligence.
- INT provide a framework for integrating temporal dynamics in biological and artificial systems.
