N3HUB Research Themes

NeuroPhysics

Neurophysics explores the physical principles underlying neural function. We investigate the regularity and irregularity of neural signals using entropy measures, analyze self-organization and criticality in neural events, and characterize mesoscale traveling waves using advanced AI techniques. These studies enhance our understanding of brain activity across different states and scales.

NeuroComputation

Neurocomputation involves using computational models to simulate neural processes. We build generative models from multi-area recordings to generate synthetic neural data, analyze the randomness versus structure in neural spiking activity, and construct dynamic maps of neural coordination. Our work aims to decode the computational power of the brain and improve data-driven neural models.

NeuroDynamics

Neurodynamics examines the temporal patterns of neural activity. We model interactions between inhibitory and excitatory neurons, build causal mappings of interareal communication, and use topological analyses to study perceptual representations. Our goal is to understand how neural dynamics underpin learning, memory, and behavior through state-dependent changes in neural networks.