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IJON
2006
123views more  IJON 2006»
15 years 6 months ago
Attractor neural networks with patchy connectivity
The neurons in the mammalian visual cortex are arranged in columnar structures, and the synaptic contacts of the pyramidal neurons in layer II/III are clustered into patches that ...
Christopher Johansson, Martin Rehn, Anders Lansner
IJON
2006
129views more  IJON 2006»
15 years 6 months ago
Computational and neural mechanisms of task switching
Switching between tasks that overlap in perceptual and response characteristics is assumed to rely upon the maintenance of task representations in prefrontal cortex (PFC). However...
Jeremy R. Reynolds, Todd S. Braver, Joshua W. Brow...
IJCNN
2006
IEEE
16 years 10 days ago
Combining Multi-Frame Images for Enhancement Using Self-Delaying Dynamic Networks
Abstract— This paper presents the use of a newly created network structure known as a Self-Delaying Dynamic Network (SDN). The SDNs were created to process data which varies with...
Lewis Eric Hibell, Honghai Liu, David J. Brown
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
15 years 11 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter
NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 10 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani