Neurogrid - Brains in Silicon, Stanford University
Last updated: February 20, 2013
Two complementary objectives: To use existing knowledge of brain function in designing an affordable supercomputer�one that can itself serve as a tool to investigate brain function - feeding back and contributing to a fundamental, biological understanding of how the brain works. Neurogrid provides an affordable option for brain simulations. It uses analog computation to emulate ion-channel activity and uses digital communication to softwire synaptic connections. Neurogrid simulates one million neurons with two subcellular compartments each. varying the compartments' electrical coupling replicates the firing patterns of various pyramidal-cell types. Capturing these behaviors using the smallest number of compartments minimizes the number of distinct ion-channel populations that need to be simulated, thereby maximizing the number of neurons a model can have. Neurogrid With sixteen 12x14 sq-mm chips (Neurocores) assembled on a 6.5x7.5 sq-in circuit board, Neurogrid can model a slab of cortex with up to 16x256x256 neurons�over a million. The chips are interconnected in a binary tree by 80M spike/sec links. An on-chip RAM (in each Neurocore) and an off-chip RAM (on a daughterboard) softwire vertical and horizontcal cortical connections, respectively. Built in 2009 (maybe also earlier) Neurogrid simulates a million neurons connected by billions of synapses in real-time, rivaling Blue Gene's performance while consuming a 100,000 times less energy�five watts instead of a megawatt
Latest news / current status
- Neurogrid possibly to be used with the SPAUN model to achieve real-time simulation.
Neurogrid possibly to be used with the SPAUN model. Kwabena Boahen New project: Fully implantable and programmable spike-based codecs for neuroprosthetics Two neuromorphic chips, one implanted into motor cortex, wirelessly controls robotic arm, another into somato sensory cortex, receives sensory data from arm projectreporter.nih.gov/project_info_description.cfm?aid=8181331 Project Start Date: 1-SEP-2011 Project End Date: 31-MAY-2016 Total funding: $895,817 http://www.stanforddaily.com/2011/11/02/boahens-brainchild/ http://med.stanford.edu/ism/2011/september/nih-awards-0920.html