Propagating waves in thalamus, cortex and the thalamocortical system: Experiments and models

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• Propagating waves of neural activity are observed across diverse species, brain regions, and states.
• Understanding these waves in the thalamus and neocortex is crucial for comprehending brain function.

Purpose of the Study:

• To review experimental findings and computational models of propagating activity in the thalamus and neocortex.
• To investigate how different network states, particularly under anesthesia, affect wave propagation.
• To develop a model that elucidates the relationship between intrinsic network activity and extrinsic input processing.

Main Methods:

• Comprehensive review of experimental literature on propagating activity in thalamus and neocortex.
• Review of computational models simulating thalamic, cortical, and thalamocortical networks.
• Introduction and analysis of a novel network model exhibiting distinct network states.

Main Results:

• Experimental discrepancies in wave propagation can be attributed to differing network states (e.g., anesthetized vs. awake).
• The proposed network model demonstrates how varying network states influence the spatial characteristics of both self-sustained and externally driven activity.
• Model results highlight the impact of intrinsic neural activity on the propagation of external stimuli.

Conclusions:

• Network state is a critical factor in understanding propagating neural activity and reconciling experimental data.
• The developed model provides insights into how the brain's intrinsic dynamics shape its response to external inputs.
• This work advances the understanding of information processing within the thalamocortical system.