Why Can’t A Computer Be More Like A Brain?
“Computers, at long last, can play winning chess. But the program that can beat the world champion can’t talk about chess, let alone learn backgammon. Today’s programs-at best-solve specific problems. Where humans have broad and flexible capabilities, computers do not. ”
Source: IEEE Spectrum Magazine
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“Wavelets are mathematical functions that cut up data into different frequency components, and then study each component with a resolution matched to its scale. They have advantages over traditional Fourier methods in analyzing physical situations where the signal contains discontinuities and sharp spikes.”
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Wave_clus is a fast and unsupervised algorithm for spike detection and sorting. Although it gives a first unsupervised solution, this can be further modified according to the experimenter’s preference (semi-automatic sorting).
By Rodrigo Quian Quiroga,
Reader in Bioengineering,
Dept. Engineering. University of Leicester, UK.
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BrainML is a developing initiative to provide a standard XML metaformat for exchanging neuroscience data. It focuses on layered definitions built over a common core in order to support community-driven extension.
One such extension is provided by the new NIH-supported neuroinformatics initiative of the Society for Neuroscience, which supports the development of expert-derived terminology sets for several areas of neuroscience.
The BrainML project is funded by the Human Brain Project-Informatics initiative via MH/NS57153 from the NIMH and NINDS and is directed by:
Daniel Gardner
Weill Medical College of Cornell University
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