Search Results for author: Michael Hines

Found 2 papers, 1 papers with code

Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks

no code implementations1 Jul 2019 Bruno Magalhães, Michael Hines, Thomas Sterling, Felix Schuermann

However, simulations driven by stiff dynamics or a wide range of time scales - such as multiscale simulations of neural networks - struggle with fixed step interpolation methods, yielding excessive computation of intervals of quasi-constant activity, inaccurate interpolation of periods of high volatility solution, and being incapable of handling unknown or distinct time constants.

An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language

1 code implementation6 May 2019 Pramod Kumbhar, Omar Awile, Liam Keegan, Jorge Blanco Alonso, James King, Michael Hines, Felix Schürmann

Here, we describe a new code generation framework (NMODL) for an existing DSL in the NEURON framework, a widely used software for massively parallel simulation of biophysically detailed brain tissue models.

Mathematical Software Neurons and Cognition

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