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» Are Hopfield Networks Faster than Conventional Computers
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NIPS
1996
13 years 6 months ago
Are Hopfield Networks Faster than Conventional Computers?
It is shown that conventional computers can be exponentially faster than planar Hopfield networks: although there are planar Hopfield networks that take exponential time to conver...
Ian Parberry, Hung-Li Tseng
COGSCI
2000
74views more  COGSCI 2000»
13 years 4 months ago
A neuronal basis for the fan effect
entity, but an abstraction of unknown lower-level processes, the spreadingactivation model has predictive but not explanatory power. We provide one explanation of the fan effect by...
Philip Goetz, Deborah Walters
ISCI
2000
92views more  ISCI 2000»
13 years 4 months ago
Quantum associative memory
This paper combines quantum computation with classical neural network theory to produce a quantum computational learning algorithm. Quantum computation uses microscopic quantum lev...
Dan Ventura, Tony R. Martinez
NIPS
1997
13 years 6 months ago
Computing with Action Potentials
Most computational engineering based loosely on biology uses continuous variables to represent neural activity. Yet most neurons communicate with action potentials. The engineerin...
John J. Hopfield, Carlos D. Brody, Sam T. Roweis
AINA
2006
IEEE
13 years 11 months ago
Accelerating the HMMER Sequence Analysis Suite Using Conventional Processors
Due to the ever-increasing size of sequence databases it has become clear that faster techniques must be employed to effectively perform biological sequence analysis in a reasonab...
John Paul Walters, Bashar Qudah, Vipin Chaudhary