2 citations · 2 across the 2 of their papers we have counts for
4 papers
Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks
Bruno Magalhães, Michael Hines, Thomas Sterling +1
State-of-the-art simulations of detailed neural models follow the Bulk Synchronous Parallel execution model. Execution is divided in equidistant communication intervals, equivalent…
An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language
Pramod Kumbhar, Omar Awile, Liam Keegan +4
Domain-specific languages (DSLs) play an increasingly important role in the generation of high performing software. They allow the user to exploit specific knowledge encoded in the…
CoreNEURON : An Optimized Compute Engine for the NEURON Simulator
Pramod Kumbhar, Michael Hines, Jeremy Fouriaux +4
The NEURON simulator has been developed over the past three decades and is widely used by neuroscientists to model the electrical activity of neuronal networks. Large network simul…
Simulation of networks of spiking neurons: A review of tools and strategies
R. Brette, M. Rudolph, T. Carnevale +19
We review different aspects of the simulation of spiking neural networks. We start by reviewing the different types of simulation strategies and algorithms that are currently imple…