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Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
Published on: October 24, 2012
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Cortical state dynamics and selective attention define the spatial pattern of correlated variability in neocortex
Yan-Liang Shi1, Nicholas A Steinmetz2, Tirin Moore3,4
1Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
Nature Communications
|January 11, 2022
Summary
Neural correlations in the visual cortex are explained by columnar On-Off dynamics, which are modulated by attention. These dynamics shape how neural activity synchronizes across the cortex, influencing sensory processing.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- Neural correlations are crucial for sensory processing and behavior, reflecting both anatomical connectivity and dynamic cognitive states like attention.
- The network mechanisms governing the population structure of neural correlations remain poorly understood.
Purpose of the Study:
- To elucidate the network mechanisms underlying the spatial structure of neural correlations in the visual cortex.
- To investigate how columnar dynamics and attentional modulation shape neural correlations.
Main Methods:
- Measured neural correlations within columns of the visual cortex.
- Developed a network model to simulate On-Off dynamics and their propagation.
- Analyzed attentional modulation of correlations at different lateral distances.
Main Results:
- Columnar On-Off dynamics explain the magnitude, attentional modulation, and lateral distance dependence of neural correlations.
- A network model demonstrated that On-Off dynamics propagate across columns, generating spatially structured correlations controlled by attention.
- Attention-induced correlation changes were spatially non-uniform, with largest changes at intermediate lateral distances in superficial layers.
Conclusions:
- Columnar On-Off dynamics, interacting with anatomical connectivity and attention, generate spatially structured correlated variability.
- This mechanism provides a novel explanation for how cortical state dynamics shape neural correlations during cognitive tasks.
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