Songting Li

This study identifies a dynamical regime in cortical networks that allows reliable signal propagation while preserving local temporal dynamics.

The paper identifies a timescale hierarchy in marmoset neocortex using ECoG data and develops a multi-regional model to explain signal integration and propagation.

This paper develops a biophysically detailed model of C. elegans body-wall muscle cells using experimental data and a simulation-based inference method to estimate parameters and validate the model's accuracy.

The paper builds a large-scale macaque cortical model to show distributed sensory evidence accumulation across multiple brain regions during decision-making.

The paper establishes quantitative relations among four causality measures for pulse-output nonlinear networks and shows they can reconstruct structural connectivity effectively.

The paper analyzes a primate cortex model to show that timescale hierarchy arises from three circuit properties: synaptic excitation gradient, neuronal population differences, and input balance.