Brian is a new simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists. Brian is easy to learn and use, highly flexible and easily extensible.
1 May 2008—Anyone familiar with electronics knows the trinity of fundamental components: the resistor, the capacitor, and the inductor. In 1971, a University of California, Berkeley, engineer predicted that there should be a fourth element: a memory resistor, or memristor. But no one knew how to build one. Now, 37 years later, electronics have finally gotten small enough to reveal the secrets of that fourth element. The memristor, Hewlett-Packard researchers revealed today in the journal Nature, had been hiding in plain sight all along—within the electrical characteristics of certain nanoscale devices. They think the new element could pave the way for applications both near- and far-term, from nonvolatile RAM to realistic neural networks.
By Sally Adee, IEEE’s Spectrum Issue May 2008
Columbia University, Department of Biomedical Engineering
The Laboratory for Intelligent Imaging and Neural Computing (LIINC) at Columbia University has an immediate opening for one (most probably two) Postdoctoral Fellow(s) to participate in in the “Cortically-coupled Computer Vision (C3Vision)” research program.
The Albert Einstein College of Medicine, one of the leading medical schools in New York City, is seeking to fill multiple tenure track faculty positions in the newly formed Department of Systems and Computational Biology. Established in April 2008, the major goal of the new department is to advance our understanding of living systems by developing theoretical, computational and experimental approaches to study complex biological systems.
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