Computer Based on Insights From The Brain Moves Closer to Reality
Added: Thu, 19 Nov 2009 00:00:00 UTC
Thanks to SPS for the link.
BlueMatter, a new algorithm created in collaboration with Stanford University, exploits the Blue Gene supercomputing architecture in order to noninvasively measure and map the connections between all cortical and sub-cortical locations within the human brain using magnetic resonance diffusion weighted imaging. Mapping the wiring diagram of the brain is crucial to untangling its vast communication network and understanding how it represents and processes information.
(PhysOrg.com) -- Today at SC 09, the supercomputing conference, IBM announced significant progress toward creating a computer system that simulates and emulates the brain's abilities for sensation, perception, action, interaction and cognition, while rivaling the brain's low power and energy consumption and compact size.
The cognitive computing team, led by IBM Research, has achieved significant advances in large-scale cortical simulation and a new algorithm that synthesizes neurological data -- two major milestones that indicate the feasibility of building a cognitive computing chip.
Scientists, at IBM Research - Almaden, in collaboration with colleagues from Lawrence Berkeley National Lab, have performed the first near real-time cortical simulation of the brain that exceeds the scale of a cat cortex and contains 1 billion spiking neurons and 10 trillion individual learning synapses.
Additionally, in collaboration with researchers from Stanford University, IBM scientists have developed an algorithm that exploits the Blue GeneÂ® supercomputing architecture in order to noninvasively measure and map the connections between all cortical and sub-cortical locations within the human brain using magnetic resonance diffusion weighted imaging. Mapping the wiring diagram of the brain is crucial to untangling its vast communication network and understanding how it represents and processes information.
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