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» Neural networks for computational neuroscience
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ACSC
2005
IEEE
15 years 11 months ago
Graph Grammar Encoding and Evolution of Automata Networks
The global dynamics of automata networks (such as neural networks) are a function of their topology and the choice of automata used. Evolutionary methods can be applied to the opt...
Martin H. Luerssen
ICNSC
2007
IEEE
16 years 11 days ago
Associative Memory for Noisy and Structurally Deformed Two-Dimensional Images Using Neural Networks
—This paper studies the problem of understanding noisy and structurally deformed two-dimensional images by means of abstractly defined neural works. First, in the framework of sy...
Hiroshi Inaba, Tomoki Takahashi, Keylan Alimhan
NCA
2011
IEEE
15 years 1 months ago
Privacy preserving Back-propagation neural network learning over arbitrarily partitioned data
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
Ankur Bansal, Tingting Chen, Sheng Zhong
IWANN
2005
Springer
15 years 11 months ago
Modeling Neural Processes in Lindenmayer Systems
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...
Carlos Martín-Vide, Tseren-Onolt Ishdorj
EUROPAR
2005
Springer
15 years 11 months ago
The Combined Perceptron Branch Predictor
— Previous works have shown that neural branch prediction techniques achieve far lower misprediction rate than traditional approaches. We propose a neural predictor based on two ...
Matteo Monchiero, Gianluca Palermo