502 search results - page 5 / 101 » Computational model for amygdala neural networks |
ICNC
2005
Springer
15 years 3 months ago
2005
Springer
This paper incorporates robustness into neural network modeling and proposes a novel two-phase robustness analysis approach for determining the optimal feedforward neural network (...
140
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Book
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
82
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IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
In this article we approach neural networks as computational templates that travel across various sciences. Traditionally, it has been thought that models are primarily models of s...
81
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TNN
2008
14 years 9 months ago
2008
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
88
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IWANN
2005
Springer
15 years 3 months ago
2005
Springer
Computing in nature as is the case with the human brain is an emerging research area in theoretical computer science. The present paper’s aim is to explore biological neural cell...