Neurogrid

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Neurogrid is a piece of computer hardware that is designed specifically for simulation of biological brains. It uses analog computation to emulate ion channel activity, and digital communication to softwire structured connectivity patterns. Neurogrid simulates one million neurons and six billion synapses in real time. The neurons spike at a rate of ten times a second. This means it rivals simulations done by the Blue Brain Project, but it uses one millionth of the power. The entire board consumes less than two watts of electrical energy.

Neurogrid was designed and built by the Brains in Silicon group at Stanford university. The group is led by Kwabena Boahen. The Neurogrid hardware was first up and running in late 2009. Since then it has been used to start performing simulation experiments.

The Neurogrid board contains sixteen Neurocores, each of which has 256 x 256 silicon neurons in a 11.9 mm x 13.9 mm chip. An off-chip RAM and an on-chip RAM (in each Neurocore) softwire horizontal and vertical cortical connections, respectively. With 61 graded and 18 binary programmable parameters, common to all of its silicon neurons, a Neurocore can model a variety of spiking and interaction patterns.[1]

References

  1. ↑ http://www.stanford.edu/group/brainsinsilicon/goals.html

See also

External links


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