Wiki » History » Version 13
Version 12 (Georgios Smaragdos, 23 Sep 2016 11:36) → Version 13/17 (Georgios Smaragdos, 23 Sep 2016 11:37)
Information on running neuronal simulations on FPGAs
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### Background
…
### Bluehive project
For more details, see here: http://www.opensourcebrain.org/projects/bluehive-showcase
### Si Elegans project
For more details, see here: http://www.si-elegans.eu/
### BrainFrame Project
The goal of the BrainFrame effort is creating a back-end hardware library of designs emulating the Cerebellum system, based on reconfigurable (DFEs in this case) platforms,
as a practical simulation solution for real-time neuro-scientific experiments. Eventually also make a library of generic constructs that can used on general neuron model
development. This backend will be combined with a PyNN front-end to implement the BrainFrame tool-flow. PyNN, a Python-based, simulator-independent language for
specification of brain models, is a widely known and used framework by computational neuroscientists. PyNN is capable of achieving high-speed simulation and
it already offers a common interface to popular simulation platforms such as NEURON and NEST
as well as newly developing ones that show great future potetial, such as NeuroML.
For More Details See here: http://erasmusbrainproject.com/index.php/themes/brainframe
Related Publications: http://erasmusbrainproject.com/index.php/publications/brainframe
### Other systems
[A Large-Scale Spiking Neural Network Accelerator for FPGA Systems Systems](http://www.async.org.uk/nerh2012/nerh2012_submission_2.pdf)
Kit Cheung, Simon R. Schultz, Wayne Luk, Imperial College London
[A Biologically Plausible Real-time Spiking Neuron Simulation Environment Based on a Multiple-FPGA Platform](http://dl.acm.org/ft_gateway.cfm?id=2082176&ftid=1071641&dwn=1&CFID=223379110&CFTOKEN=73391392)
Shufan Yang, TM McGinnity, University of Ulster
[An FPGA-based approach to high-speed simulation of conductance-based neuron models](http://link.springer.com/article/10.1385%2FNI%3A2%3A4%3A417)
E. L. Graas, E. A. Brown, Robert H. Lee, Emory University/Georgia Institute of Technology
[FPGA-based Biophysically-Meaningful Modeling of Olivocerebellar Neurons](http://erasmusbrainproject.com/media/PDFresources/PublicationsBrainFrame/FPGA2014.pdf)
Georgios Smaragdos, Sebastian Isaza, Martijn Van Eijk, Ioannis Sourdis and Christos Strydis
----------------------------------------------------
### Background
…
### Bluehive project
For more details, see here: http://www.opensourcebrain.org/projects/bluehive-showcase
### Si Elegans project
For more details, see here: http://www.si-elegans.eu/
### BrainFrame Project
The goal of the BrainFrame effort is creating a back-end hardware library of designs emulating the Cerebellum system, based on reconfigurable (DFEs in this case) platforms,
as a practical simulation solution for real-time neuro-scientific experiments. Eventually also make a library of generic constructs that can used on general neuron model
development. This backend will be combined with a PyNN front-end to implement the BrainFrame tool-flow. PyNN, a Python-based, simulator-independent language for
specification of brain models, is a widely known and used framework by computational neuroscientists. PyNN is capable of achieving high-speed simulation and
it already offers a common interface to popular simulation platforms such as NEURON and NEST
as well as newly developing ones that show great future potetial, such as NeuroML.
For More Details See here: http://erasmusbrainproject.com/index.php/themes/brainframe
Related Publications: http://erasmusbrainproject.com/index.php/publications/brainframe
### Other systems
[A Large-Scale Spiking Neural Network Accelerator for FPGA Systems Systems](http://www.async.org.uk/nerh2012/nerh2012_submission_2.pdf)
Kit Cheung, Simon R. Schultz, Wayne Luk, Imperial College London
[A Biologically Plausible Real-time Spiking Neuron Simulation Environment Based on a Multiple-FPGA Platform](http://dl.acm.org/ft_gateway.cfm?id=2082176&ftid=1071641&dwn=1&CFID=223379110&CFTOKEN=73391392)
Shufan Yang, TM McGinnity, University of Ulster
[An FPGA-based approach to high-speed simulation of conductance-based neuron models](http://link.springer.com/article/10.1385%2FNI%3A2%3A4%3A417)
E. L. Graas, E. A. Brown, Robert H. Lee, Emory University/Georgia Institute of Technology
[FPGA-based Biophysically-Meaningful Modeling of Olivocerebellar Neurons](http://erasmusbrainproject.com/media/PDFresources/PublicationsBrainFrame/FPGA2014.pdf)
Georgios Smaragdos, Sebastian Isaza, Martijn Van Eijk, Ioannis Sourdis and Christos Strydis