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IJCNN
2008
IEEE
15 years 4 months ago
Image clustering with spiking neuron network
— The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images. Artifi...
B. Meftah, A. Benyettou, Olivier Lezoray, W. QingX...
95
Voted
IJCNN
2006
IEEE
15 years 3 months ago
Effective Training Methods for Function Localization Neural Networks
— Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kot...
74
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IC3
2009
14 years 7 months ago
IDChase: Mitigating Identifier Migration Trap in Biological Databases
A convenient mechanism to refer to large biological objects such as sequences, structures and networks is the use of identifiers or handles, commonly called IDs. IDs function as a ...
Anupam Bhattacharjee, Aminul Islam, Hasan M. Jamil...
TVCG
2008
112views more  TVCG 2008»
14 years 9 months ago
Reconstruction of Cellular Biological Structures from Optical Microscopy Data
Developments in optical microscopy imaging have generated large high-resolution datasets that have spurred medical researchers to conduct investigations into mechanisms of disease,...
Kishore Mosaliganti, Lee Cooper, Richard Sharp, Ra...
72
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BC
2005
98views more  BC 2005»
14 years 9 months ago
Integrating behavioral and neural data in a model of zebrafish network interaction
The spinal neural networks of larval zebrafish (Danio rerio) generate a variety of movements such as escape, struggling, and swimming. Various mechanisms at the neural and network ...
P. Dwight Kuo, Chris Eliasmith