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Exploring neural computation using neuromorphic VLSI technology

English title Exploring neural computation using neuromorphic VLSI technology
Applicant Chicca Elisabetta
Number 110298
Funding scheme Marie Heim-Voegtlin grants
Research institution Institut für Neuroinformatik Universität Zürich Irchel und ETH Zürich
Institution of higher education ETH Zurich - ETHZ
Main discipline Electrical Engineering
Start/End 01.05.2006 - 30.04.2007
Approved amount 83'502.00
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All Disciplines (2)

Discipline
Electrical Engineering
Neurophysiology and Brain Research

Keywords (7)

brain; computation; neural; neuromorphic; engineering; electronic; VLSI

Lay Summary (English)

Lead
Lay summary
The brain can solve complex perceptual tasks in real time, using low power and unreliable elementary units. Replicating the principles found in biological neural systems is useful for understanding biological processes and these principles also inspire the design of novel systems for practical applications. Neuromorphic engineering uses Very Large Scale Integrated (VLSI) electronic circuits to construct biologically-inspired neural processing systems. This project focuses on the development of a hardware system to explore the computational capabilities of large networks of recurrently connected spiking neurons. The importance of such a system is that it permits exploration of asynchronous, event-based computation, which is a novel form of processing not yet explored in modern computers. To this end, a novel analog VLSI device will be designed and its implementation will be used to build multi-chip systems.
Direct link to Lay Summary Last update: 21.02.2013

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