Chips Hold the Key to Understanding the Human Brain
From: University of Manchester - 07/06/2011
By: Daniel Cochlin 

University of Manchester researchers have developed the Spiking Neural
Network architecture (SpiNNaker), a computer designed to help scientists
understand complex brain injuries, diseases, and conditions. The SpiNNaker
system uses chips based on ARM processor technology that have been linked
together to simulate the human brain. The system models spikes in electrical
signals that are produced by neurons in the brain. Each spike is modeled as a
packet of data, which is then sent to all of the connected neurons,
represented by small equations that are solved in real time by software
running on the ARM processors. SpiNNaker can solve the equations much quicker
than biological connections in the brain, enabling the system to process the
same amount of information with many fewer connections. The system initially
used test chips, but the researchers recently received full chips, which will
enable them to develop larger systems that can model the brain. "We hope the
machine will be able to model important functions of the human brain and help
us gain key insights into their principles of operation," says Manchester
professor Steve Furber. 

Read the entire article at:
http://www.eurekalert.org/pub_releases/2011-07/uom-cht070511.php

Links:
SpiNNaker
http://apt.cs.man.ac.uk/projects/SpiNNaker/

Steve Furber
http://apt.cs.man.ac.uk/people/sfurber/