Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
We have constructed a FPGA-based "early neural circuit simulator" to model the first two stages of stimulus encoding and processing in the rat whisker system. Rats use t...
Brian Leung, Yan Pan, Chris Schroeder, Seda Ogrenc...
Detecting abnormal behaviors in crowd scenes is quite important for public security and has been paid more and more attentions. Most previous methods use offline trained model to p...
: Embedded Computer-based Systems are becoming highly complex and hard to implement because of the large number of concerns the designers have to address. These systems are tightly...
Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...