Biophysical Brain Models Get a 2000× Speed Boost: Researchers from NUS, UPenn, and UPF Introduce DELSSOME to Replace Numerical Integration with Deep Learning Without Sacrificing Accuracy

Biophysical Brain Models Get a 2000× Speed Boost: Researchers from NUS, UPenn, and UPF Introduce DELSSOME to Replace Numerical Integration with Deep Learning Without Sacrificing Accuracy

Biophysical modeling serves as a valuable tool for understanding brain function by linking neural dynamics at the cellular level with large-scale brain activity. These models are governed by biologically interpretable parameters, many of which can be directly measured through experiments. However, some parameters remain unknown and must be tuned to align simulations with empirical data, such as resting-state fMRI. Traditional optimization approa…