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» Optimal spontaneous activity in neural network modeling
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ICONIP
2010
13 years 8 months ago
Complex Spiking Models: A Role for Diffuse Thalamic Projections in Complex Cortical Activity
Cortical activity exhibits complex, persistent self-sustained dynamics, which is hypothesised to support the brain’s sophisticated processing capabilities. Prior studies have sho...
Peter Stratton, Janet Wiles
IR
2002
13 years 9 months ago
Hierarchical Text Categorization Using Neural Networks
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
Miguel E. Ruiz, Padmini Srinivasan
LION
2009
Springer
135views Optimization» more  LION 2009»
14 years 4 months ago
Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment
We present a new knowledge-based Model Quality Assessment Program (MQAP) at the residue level which evaluates single protein structure models. We use a tree representation of the ...
Alberto J. M. Martin, Alessandro Vullo, Gianluca P...
LION
2009
Springer
129views Optimization» more  LION 2009»
14 years 4 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
JCNS
2010
119views more  JCNS 2010»
13 years 8 months ago
Disentanglement of local field potential sources by independent component analysis
The spontaneous activity of working neurons yields synaptic currents that mix up in the volume conductor. This activity is picked up by intracerebral recording electrodes as local ...
Valeri A. Makarov, Ioulia Makarova, Oscar Herreras