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» Tristability in Model Neurons
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CORR
2007
Springer
140views Education» more  CORR 2007»
15 years 9 days ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
NN
2006
Springer
15 years 8 days ago
Speed-accuracy trade-off in planned arm movements with delayed feedback
The Vector Integration to Endpoint (VITE) circuit describes a real-time neural network model simulating behavioral and neurobiological properties of planned arm and hand movements...
Dan Beamish, I. Scott MacKenzie, Jianhong Wu
BC
2005
82views more  BC 2005»
15 years 7 days ago
Estimating position and velocity of a submerged moving object by the clawed frog Xenopus and by fish - A cybernetic approach
Thelateral-linesystemisauniquefacilityofaquatic animals to locate predator, prey, or conspecifics. We present a detailed model of how the clawed frog Xenopus, or fish, can localize...
Jan-Moritz P. Franosch, Andreas B. Sichert, Maria ...
ECCC
2000
158views more  ECCC 2000»
15 years 4 days ago
On the Computational Power of Winner-Take-All
This article initiates a rigorous theoretical analysis of the computational power of circuits that employ modules for computing winner-take-all. Computational models that involve ...
Wolfgang Maass
IJON
2000
105views more  IJON 2000»
15 years 4 days ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...