NeuroGPU: Accelerating multi-compartment, biophysically detailed neuron simulations on GPUs.

ABSTRACT:

Background

The membrane potential of individual neurons depends on a large number of interacting biophysical processes operating on spatial-temporal scales spanning several orders of magnitude. The multi-scale nature of these processes dictates that accurate prediction of membrane potentials in specific neurons requires the utilization of detailed simulations. Unfortunately, constraining parameters within biologically detailed neuron models can be difficult, leading to poor model fits. This obstacle can be overcome partially by numerical optimization or detailed exploration of parameter space. However, these processes, which currently rely on central processing unit (CPU) computation, often incur orders of magnitude increases in computing time for marginal improvements in model beh

SUBMITTER: Ben-Shalom R 

PROVIDER: S-EPMC9887806 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature