David Hofmann
Staff scientist at SUNY Stony Brook and MIT Julia lab.
Session
07-23
16:50
10min
Enhancing Spectral Dynamic Causal Modeling with Julia
David Hofmann
Dynamic Causal Modeling (DCM) is a key method for inferring neural connectivity among brain regions. We present a novel Julia-based implementation of spectral DCM using Julia's ModelingToolkit and automatic differentiation. We provide a fast, modular platform for biophysically detailed models, validated against the widely used MATLAB based Statistical Parametric Mapping software commonly used to estimate DCMs.
Julia for Neuroscience
Main Room 2