3 papers
q-bio.NC2026
CANNs: A Toolkit for Research on Continuous Attractor Neural Networks
Sichao He, Aiersi Tuerhong, Shangjun She +4
Continuous attractor neural networks (CANNs) are the canonical computational framework for how the brain encodes continuous variables such as spatial position, head direction, and…
cs.NE2024
A Differentiable Approach to Multi-scale Brain Modeling
Chaoming Wang, Muyang Lyu, Tianqiu Zhang +2
We present a multi-scale differentiable brain modeling workflow utilizing BrainPy, a unique differentiable brain simulator that combines accurate brain simulation with powerful gra…
cs.NE2023
A differentiable brain simulator bridging brain simulation and brain-inspired computing
Chaoming Wang, Tianqiu Zhang, Sichao He +3
Brain simulation builds dynamical models to mimic the structure and functions of the brain, while brain-inspired computing (BIC) develops intelligent systems by learning from the s…