Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics

1 code implementation • 10 Sep 2021 • Oliver K. Ernst, Tom Bartol, Terrence Sejnowski, Eric Mjolsness

We present a machine learning method for model reduction which incorporates domain-specific physics through candidate functions.

BIG-bench Machine Learning

Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions

1 code implementation • 28 May 2019 • Oliver K. Ernst, Tom Bartol, Terrence Sejnowski, Eric Mjolsness

Moment closure methods are used to approximate a subset of low order moments by terminating the hierarchy at some order and replacing higher order terms with functions of lower order ones.