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103
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IJCNN
2007
IEEE
15 years 6 months ago
TRUST-TECH Based Neural Network Training
— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...
Hsiao-Dong Chiang, Chandan K. Reddy
NIPS
2004
15 years 1 months ago
Bayesian inference in spiking neurons
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
Sophie Deneve
146
Voted
NN
2000
Springer
134views Neural Networks» more  NN 2000»
15 years 7 days ago
Generic modeling of chemotactic based self-wiring of neural networks
The proper functioning of the nervous system depends critically on the intricate network of synaptic connections that are generated during the system development. During the netwo...
Ronen Segev, Eshel Ben-Jacob
HICSS
2006
IEEE
188views Biometrics» more  HICSS 2006»
15 years 6 months ago
Scalable Online Discussions as Listening Technology
This paper presents a novel online discussion environment that efficiently supports listening processes inspired by more collaborative management practices. This participative man...
Baldo Faieta, Bernardo A. Huberman, Paul Verhaeghe
94
Voted
ICANN
2003
Springer
15 years 5 months ago
Unsupervised Learning of a Kinematic Arm Model
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Heiko Hoffmann, Ralf Möller