New perspectives on dimensionality and variability from large-scale cortical dynamics.

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• The neocortex functions as a multi-scale network, integrating local circuitry with long-range connections.
• Neural activity propagates across diverse temporal and spatial scales, from micro-level population dynamics to macro-level brain activity.

Purpose of the Study:

• To review recent advances linking local and global cortical dynamics.
• To explore the relationship between these dynamics and behavior.
• To reconcile diverse observations on neural activity variability and dimensionality through multi-scale propagation.

Main Methods:

• Review of neurophysiological recordings (micro-scale) and neuroimaging modalities (macro-scale).
• Analysis of spatiotemporal patterns of neural activity.
• Theoretical consideration of activity propagation across multiple spatial scales.

Main Results:

• Coordinated dynamics in local neural populations support behaviorally relevant computations.
• Global activity fluctuations form spatiotemporal patterns across the brain.
• Multi-scale propagation offers a unified framework for understanding neural activity characteristics.

Conclusions:

• Linking micro and macro scales of cortical dynamics is crucial for understanding brain function.
• Activity propagation across multiple spatial scales provides a unifying principle for neural dynamics.
• This multi-scale perspective reconciles diverse experimental findings on neural activity.