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110
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ESANN
2004
15 years 4 months ago
Computational model of amygdala network supported by neurobiological data
Abstract. The amygdala has repeatedly been involved in the processing of emotional reactions and conditioning. This paper presents a neurobiologically inspired computational model ...
Mélanie Falgairolle, Agnès Gorge, Je...
131
Voted
ITICSE
2004
ACM
15 years 8 months ago
Teaching computer networking with the help of personal computer networks
This paper describes an “experiential” learning approach to teaching a foundational course on Computer Networking. In additional to the traditional laboratory sessions and ana...
Rocky K. C. Chang
114
Voted
IJCAI
1997
15 years 4 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
95
Voted
ICPR
2002
IEEE
16 years 3 months ago
Learning and Extracting Edges from Images by a Modified Hopfield Neural Network
This paper introduced a modified unsupervised Hopfield network that can learn the underlying process in an edge detection task from grey level images. After the learning phase, th...
Sylvain Chartier, Richard Lepage
130
Voted
ISNN
2005
Springer
15 years 8 months ago
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure
Abstract. This paper proposes a novel algorithm based on informax for postnonlinear blind source separation. The demixing system culminates to a neural network with sandwiched stru...
Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Sha...