Lai-Sang Young

This study uses a multiscale model of Macaque V1 to investigate binocular response integration in layer 4C, finding narrow binocular strips and monocular feedback from layer 6.

This paper introduces a data-informed mean-field approach to map cortical parameter landscapes and identifies biologically plausible parameter regions in a high-dimensional model of the Macaque primary visual cortex.

The paper proposes a theory explaining direction selectivity in Macaque V1 by analyzing ON/OFF pathway dynamics and LGN-to-cortex wiring.

This paper studies correlations in spiking activity between neuronal populations, showing that population-level metrics are more robust than pairwise correlations and that gamma-band rhythm alignment contributes to positive correlations.

The paper uses a DNN to analyze a neuronal network model, revealing insights into cortical circuit behavior and limitations of integrate-and-fire neuron models.

The paper develops a theoretical framework to explain exponential growth in nonlinear reaction networks, showing how scalability of flux functions and ergodicity of rescaled systems lead to various growth modalities.