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» Emergence of Rules in Cell Assemblies of fLIF Neurons
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ECAI
2008
Springer
8 years 5 months ago
Emergence of Rules in Cell Assemblies of fLIF Neurons
Abstract. There are many examples of intelligent and learning systems that are based either on the connectionist or the symbolic approach. Although the latter can be successfully c...
Roman V. Belavkin, Christian R. Huyck
IJON
2006
51views more  IJON 2006»
8 years 3 months ago
Predicting synchronized neural assemblies from experimentally estimated phase-resetting curves
Neural-network dynamics frequently organize in assemblies of synchronized neurons that are thought to encode and store sensory information. We have investigated the mechanisms lea...
Roberto Fdez. Galán, Bard Ermentrout, Natha...
BIOSYSTEMS
2008
107views more  BIOSYSTEMS 2008»
8 years 3 months ago
The linearity of emergent spectro-temporal receptive fields in a model of auditory cortex
The responses of cortical neurons are often characterized by measuring their spectro-temporal receptive fields (strfs). The strf of a cell can be thought of as a representation of...
Martin Coath, Emili Balaguer-Ballester, Sue L. Den...
NN
2007
Springer
8 years 2 months ago
Optimal decision network with distributed representation
On the basis of detailed analysis of reaction times and neurophysiological data from tasks involving choice, it has been proposed that the brain implements an optimal statistical ...
Rafal Bogacz
IJCNN
2006
IEEE
8 years 9 months ago
Optimal In-Place Learning and the Lobe Component Analysis
— It is difficult to map many existing learning algorithms onto biological networks because the former require a separate learning network. The computational basis of biological...
Juyang Weng, Nan Zhang 0002
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