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NN
2010
Springer
114views Neural Networks» more  NN 2010»
3 years 5 months ago
Investigating neuronal activity by SPYCODE multi-channel data analyzer
Luca Leonardo Bologna, Valentina Pasquale, Matteo ...
NN
2010
Springer
3 years 5 months ago
Fluorescent pipettes for optically targeted patch-clamp recordings
Daisuke Ishikawa, Naoya Takahashi, Takuya Sasaki, ...
NN
2010
Springer
134views Neural Networks» more  NN 2010»
3 years 5 months ago
Sparse kernel learning with LASSO and Bayesian inference algorithm
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
Junbin Gao, Paul W. Kwan, Daming Shi
NN
2010
Springer
3 years 5 months ago
Split quaternion nonlinear adaptive filtering
Bukhari Che Ujang, Clive Cheong Took, Danilo P. Ma...
NN
2010
Springer
153views Neural Networks» more  NN 2010»
3 years 5 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
NC
2010
100views Neural Networks» more  NC 2010»
3 years 5 months ago
Computation in Sofic Quantum Dynamical Systems
We analyze how measured quantum dynamical systems store and process information, introducing sofic quantum dynamical systems. Using recently introduced information-theoretic measur...
Karoline Wiesner, James P. Crutchfield
NC
2010
3 years 5 months ago
On the regularity of circular splicing languages: a survey and new developments
Circular splicing has been introduced to model a specific recombinant behaviour of circular DNA, continuing the investigation initiated with linear splicing. In this paper we focu...
Paola Bonizzoni, Clelia de Felice, Gabriele Fici, ...
JMLR
2010
64views more  JMLR 2010»
3 years 5 months ago
Understanding the difficulty of training deep feedforward neural networks
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
Xavier Glorot, Yoshua Bengio
JDCTA
2010
95views more  JDCTA 2010»
3 years 5 months ago
Continuous Neural Decoding Method Based on General Regression Neural Network
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...
Jianhua Dai, Xiaochun Liu, Shaomin Zhang, Huaijian...
JDCTA
2010
123views more  JDCTA 2010»
3 years 5 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao
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