This repository contains the benchmark codes for the article submitted to the CCN conference 2019. In this work we compare several neural simulators

• Auryn: https://fzenke.net/auryn/doku.php
• ANNarchy: https://bitbucket.org/annarchy/annarchy
• Brian2: http://briansimulator.org/
• Brian2GeNN: https://brian2genn.readthedocs.io/en/latest/introduction/
• NEST: https://www.nest-simulator.org/index.html

rate-coded

This folder contains the implementation of the lin_rate_ipn model. The NEST implementation was based on the documentation of NEST.

COBA

This is a repeated benchmark of Vitay et al. 2015 with newer versions of the simulators and extended by Brian2GeNN. We provide the connectivity matrices.

Literature

Vitay J, Dinkelbach HÜ and Hamker FH (2015). ANNarchy: a code generation approach to neural simulations on parallel hardware. Frontiers in Neuroinformatics 9:19. doi:10.3389/fninf.2015.00019