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» Neural Network Performances in Astronomical Image Processing
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94
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ICANN
1997
Springer
15 years 4 months ago
Simulation of Spiking Neural Networks on Different Hardware Platforms
: Substantial evidence indicates that the time structure of neuronal spike trains is relevant in neuronal signal processing. Bio-inspired spiking neural networks are taking these r...
Axel Jahnke, Tim Schönauer, Ulrich Roth, K. M...
103
Voted
COGSR
2011
99views more  COGSR 2011»
14 years 7 months ago
A biologically realistic cleanup memory: Autoassociation in spiking neurons
Methods for cleaning up (or recognizing) states of a neural network are crucial for the functioning of many neural cognitive models. For example, Vector Symbolic Architectures pro...
Terrence C. Stewart, Yichuan Tang, Chris Eliasmith
93
Voted
NIPS
1997
15 years 1 months ago
A 1, 000-Neuron System with One Million 7-bit Physical Interconnections
An asynchronous PDM (Pulse-Density-Modulating) digital neural network system has been developed in our laboratory. It consists of one thousand neurons that are physically intercon...
Yuzo Hirai
111
Voted
JOCN
2010
117views more  JOCN 2010»
14 years 11 months ago
Early Top-Down Control of Visual Processing Predicts Working Memory Performance
■ Selective attention confers a behavioral benefit on both perceptual and working memory (WM) performance, often attributed to top–down modulation of sensory neural processing...
Aaron M. Rutman, Wesley C. Clapp, James Z. Chadick...
129
Voted
CBMS
1997
IEEE
15 years 4 months ago
Radial basis function-based image segmentation using a receptive field
This paper presents a novel method for CT head image automatic segmentation. The images are obtained from patients having the spontaneous intra cerebral brain hemorrhage ICH. Th...
Domagoj Kovacevic, Sven Loncaric