Neurogrid (original) (raw)
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. In terms of number of simulated neurons, it rivals simulations done by the Blue Brain Project. However, by running the simulation of whole neurons, instead of simulation on molecular level, it needs only one millionth of Blue Brain's power. The entire board consumes less than two watts of electrical energy.
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| dbo:abstract | 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. In terms of number of simulated neurons, it rivals simulations done by the Blue Brain Project. However, by running the simulation of whole neurons, instead of simulation on molecular level, it needs only one millionth of Blue Brain's 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 an 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. (en) |
| dbo:thumbnail | wiki-commons:Special:FilePath/NeuroGridBoard.jpeg?width=300 |
| dbo:wikiPageExternalLink | http://www.stanford.edu/group/brainsinsilicon/neurogrid.html |
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| dbo:wikiPageWikiLink | dbr:Analog_computer dbr:Neuron dbr:Brain_simulation dbr:Stanford_University dbr:Computer_hardware dbr:Synapse dbc:Computational_neuroscience dbc:Simulation dbr:Ion_channel dbr:File:NeuroGridBoard.jpeg dbr:CoDi dbr:Kwabena_Boahen dbr:Random-access_memory dbr:Blue_Brain |
| dbp:wikiPageUsesTemplate | dbt:Homepage dbt:Reflist |
| dct:subject | dbc:Computational_neuroscience dbc:Simulation |
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| rdfs:comment | 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. In terms of number of simulated neurons, it rivals simulations done by the Blue Brain Project. However, by running the simulation of whole neurons, instead of simulation on molecular level, it needs only one millionth of Blue Brain's power. The entire board consumes less than two watts of electrical energy. (en) |
| rdfs:label | Neurogrid (en) |
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| prov:wasDerivedFrom | wikipedia-en:Neurogrid?oldid=1067236235&ns=0 |
| foaf:depiction | wiki-commons:Special:FilePath/NeuroGridBoard.jpeg |
| foaf:homepage | http://www.stanford.edu/group/brainsinsilicon/neurogrid.html |
| foaf:isPrimaryTopicOf | wikipedia-en:Neurogrid |
| is dbo:wikiPageWikiLink of | dbr:Bio-inspired_computing dbr:Moore's_law dbr:Neuromorphic_engineering dbr:CoDi dbr:Spiking_neural_network |
| is foaf:primaryTopic of | wikipedia-en:Neurogrid |
