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Neuronal gamma-band synchronization as a fundamental process in cortical computation
1Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands. pascal.fries@donders.ru.nl
Annual Review of Neuroscience
|April 30, 2009
Summary
Neuronal gamma-band synchronization is a fundamental process in cortical computation. It enables segmentation and selection of converging inputs, supporting diverse cognitive functions.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Neuroscience
Background:
- Neuronal gamma-band synchronization is observed across cortical areas and linked to cognitive functions.
- Existing theories suggest diverse gamma-band synchronization phenomena serve distinct roles.
- Cortical computation relies on neuronal dynamics and structural connectivity, with convergence being a key motif.
Purpose of the Study:
- To propose that gamma-band synchronization is a fundamental process underlying an elemental operation in cortical computation.
- To explain how gamma-band synchronization facilitates the simultaneous achievement of selectivity and invariance in neuronal responses.
- To elucidate the role of gamma-band synchronization in segmenting and selecting converging neuronal inputs.
Main Methods:
- Theoretical analysis of neuronal dynamics and structural connectivity.
- Conceptual framework integrating synchronization with convergence in cortical networks.
- Argumentation based on established principles of neuronal computation.
Main Results:
- Gamma-band synchronization is proposed as a fundamental mechanism for cortical computation.
- Synchronization enables functional segmentation and selection of converging neuronal inputs.
- This process is crucial for achieving both selectivity and invariance in neuronal responses.
Conclusions:
- Gamma-band synchronization is a core process underpinning cortical computation.
- It facilitates the dynamic interaction between neuronal structure and activity.
- This mechanism subserves numerous higher cognitive functions by enabling precise information processing.
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