Chaoming Wang

A brain-behavior generative model links individual brain dynamics to perceptual decisions

This paper introduces a brain-behavior generative model that links individual brain dynamics to perceptual decisions by simulating EEG and reaction times across participants.

Connectome-constrained modeling identifies neurons and synapses that sustain spontaneous activity in Drosophila

The paper uses a connectome-constrained model to identify neurons and synapses sustaining spontaneous activity in Drosophila.

BrainScale: Enabling Scalable Online Learning in Spiking Neural Networks

The paper introduces BrainScale, a system for scalable online learning in spiking neural networks, demonstrating its ability to train large-scale brain models with low memory and high efficiency.

BrainUnit: Integrating Physical Units into High-Performance AI-Driven Scientific Computing

BrainUnit integrates physical units into AI libraries to improve scientific computing accuracy and reliability without performance loss.

Spindle Oscillation Emerges at the Critical State of the Electrically Coupled Network in Thalamic Reticular Nucleus

The paper develops a computational model of the thalamic reticular nucleus (TRN) network with electrical synapses, showing that spindle oscillation arises from the critical state of the network.

BrainPy: a flexible, integrative, efficient, and extensible framework towards general-purpose brain dynamics programming

The paper introduces BrainPy, a framework for brain dynamics modeling that supports simulation, training, and analysis across multiple scales with high performance.