1173 search results - page 8 / 235 » Neural networks for computational neuroscience |
BC
2006
14 years 11 months ago
2006
We show how a general quantitative theory of neural computation can be used to explain two recent experimental findings in neuroscience. The first of these findings is that in hum...
101
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NN
2008
Springer
14 years 11 months ago
2008
Springer
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
103
Voted
NIPS
2004
15 years 1 months ago
2004
Computation without stable states is a computing paradigm different from Turing's and has been demonstrated for various types of simulated neural networks. This publication t...
213
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Book
This book covers several topics such as: overview of neural networks, matrix operations in Java, Hopfield Neural Network, machine learning, feedforward backpropagation, Simulated a...
NN
2008
Springer
14 years 11 months ago
2008
Springer
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...