Analyzing Sparse Neuronal Networks: A Random Matrix Theory Approach

This article, sourced from ArXiv, likely presents novel research on the application of random matrix theory to understand the dynamics of sparse neuronal networks. The focus on heterogeneous timescales suggests an exploration of complex temporal behaviors within these networks.

• •Applies random matrix theory to understand neuronal network dynamics.
• •Investigates sparse neuronal networks.
• •Focuses on heterogeneous timescales within the networks.