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» Pattern computation in neural communication systems
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CATA
2000
13 years 6 months ago
Neocognitron for rotated pattern recognition
Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this ...
Michael Tran, Siddheswar Ray, Ronald Pose
IJCAI
1989
13 years 6 months ago
Neural Computing on a One Dimensional SIMD Array
Parallel processors offer a very attractive mechanism for the implementation of large neural networks. Problems in the usage of parallel processing in neural computing involve the...
Stephen S. Wilson
IWANN
1999
Springer
13 years 9 months ago
Pattern Recognition System with Top-Down Process of Mental Rotation
A new model which can recognize rotated, distorted, scaled, shifted and noised patterns is proposed. The model is constructed based on psychological experiments in a mental rotatio...
Shunji Satoh, Hirotomo Aso, Shogo Miyake, Jousuke ...
COGSCI
2007
109views more  COGSCI 2007»
13 years 5 months ago
Understanding the Emergence of Modularity in Neural Systems
: Modularity in the human brain remains a controversial issue, with disagreement over the nature of the modules that exist, and why, when and how they emerge. It is a natural assum...
John A. Bullinaria
CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
13 years 11 months ago
Clustering neural spike trains with transient responses
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
John D. Hunter, Jianhong Wu, John G. Milton