724 search results - page 30 / 145 » Some Structural Complexity Aspects of Neural Computation |
IPPS
2010
IEEE
13 years 5 months ago
2010
IEEE
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
EUROPAR
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
ISSAC
1997
Springer
13 years 12 months ago
1997
Springer
Resultants characterize the existence of roots of systems of multivariate nonlinear polynomial equations, while their matrices reduce the computation of all common zeros to a prob...
JCNS
2000
13 years 7 months ago
2000
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
ISMB
1993
13 years 9 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...