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A New Innovative Microchip That Imitates
The Brainís Cognitive Abilities In Real-Time

23 July, 2013

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MessageToEagle.com - Researchers from the University of Zurich and ETH Zurich, Switzerland have constructed a new microchip that works just like a human brain and exhibits cognitive abilities.

No computer works as efficiently as the human brain - so much so that building an artificial brain is the goal of many scientists, said researchers, building an artificial sensory processing system that exhibits cognitive abilities.

This innovative device called neuromorphic chip imitates the brain's information processing abilities in real-time.



Few pursue the Zurich researchers' approach to develop electronic circuits that are comparable to a real brain in terms of size, speed, and energy consumption.

"Our goal is to emulate the properties of biological neurons and synapses directly on microchips," explains Giacomo Indiveri, a professor at the Institute of Neuroinformatics (INI), of the University of Zurich and ETH Zurich.

The major challenge was to configure networks made of artificial, i.e. neuromorphic, neurons in such a way that they can perform particular tasks, which the researchers have now succeeded in doing:

They developed a neuromorphic system that can carry out complex sensorimotor tasks in real time.

They demonstrate a task that requires a short-term memory and context-dependent decision-making - typical traits that are necessary for cognitive tests.

In doing so, the INI team combined neuromorphic neurons into networks that implemented neural processing modules equivalent to so-called "finite-state machines" - a mathematical concept to describe logical processes or computer programs.

Behavior can be formulated as a "finite-state machine" and thus transferred to the neuromorphic hardware in an automated manner.

"The network connectivity patterns closely resemble structures that are also found in mammalian brains," says Indiveri.

The scientists thus demonstrate for the first time how a real-time hardware neural-processing system where the user dictates the behavior can be constructed.

"Thanks to our method, neuromorphic chips can be configured for a large class of behavior modes. Our results are pivotal for the development of new brain-inspired technologies," Indiveri sums up.

One application, for instance, might be to combine the chips with sensory neuromorphic components, such as an artificial cochlea or retina, to create complex cognitive systems that interact with their surroundings in real time.

Paper.

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