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» Optimal spontaneous activity in neural network modeling
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NIPS
2007
13 years 10 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
JMLR
2010
162views more  JMLR 2010»
13 years 3 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
PPSN
2004
Springer
14 years 1 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
AMDO
2000
Springer
14 years 25 days ago
Analysis of Human Motion Using Snakes and Neural Networks
: A novel technique is described for analysing human movement in outdoor scenes. Following initial detection of the humans using active contour models, the contours are then re-rep...
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
NN
2006
Springer
13 years 8 months ago
Rapid decision threshold modulation by reward rate in a neural network
Optimal performance in two-alternative, free response decision making tasks can be achieved by the drift-diffusion model of decision making - which can be implemented in a neural ...
Patrick Simen, Jonathan D. Cohen, Philip Holmes