Power-efficient simulation of detailed cortical microcircuits on SpiNNaker.

  title={Power-efficient simulation of detailed cortical microcircuits on SpiNNaker.},
  author={Thomas Sharp and Francesco Galluppi and Alexander D. Rast and Stephen B. Furber},
  journal={Journal of neuroscience methods},
  volume={210 1},
Computer simulation of neural matter is a promising methodology for understanding the function of the brain. Recent anatomical studies have mapped the intricate structure of cortex, and these data have been exploited in numerous simulations attempting to explain its function. However, the largest of these models run inconveniently slowly and require vast amounts of electrical power, which hinders useful experimentation. SpiNNaker is a novel computer architecture designed to address these… CONTINUE READING
Highly Cited
This paper has 49 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper


Publications citing this paper.
Showing 1-10 of 29 extracted citations

Analog-Digital Approach in Human Brain Modeling

2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) • 2017


Publications referenced by this paper.
Showing 1-10 of 51 references

Acceleration of spiking neural networks in emerging multi-core and GPU architectures

2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW) • 2010
View 4 Excerpts
Highly Influenced

The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis • 2009
View 4 Excerpts
Highly Influenced

A quantitative map of the circuit of cat primary visual cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience • 2004
View 6 Excerpts
Highly Influenced

Principles of Neural Science (3rd ed.)

View 3 Excerpts
Highly Influenced

Anatomy of the Cortex

View 2 Excerpts
Highly Influenced

Evaluation of GPU Architectures Using Spiking Neural Networks

2011 Symposium on Application Accelerators in High-Performance Computing • 2011

Similar Papers

Loading similar papers…