Ultra-Rapid Scene Categorization with a Wave of Spikes
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Natural Computing: an international journal
Information coding in early stages of the somatosensory system
Natural Computing: an international journal
Evaluating rank-order code performance using a biologically-derived retinal model
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
International Journal of Applied Mathematics and Computer Science - Special Section: Selected Topics in Biological Cybernetics, Special Editors: Andrzej Kasiński and Filip Ponulak
Biologically inspired means for rank-order encoding images: a quantitative analysis
IEEE Transactions on Neural Networks
Optical flow reliability model approximated with RBF
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
A bio-inspired image coder with temporal scalability
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Coding strategies in early stages of the somatosensory system
IWINAC'05 Proceedings of the First international conference on Mechanisms, Symbols, and Models Underlying Cognition: interplay between natural and artificial computation - Volume Part I
Adaptive learning procedure for a network of spiking neurons and visual pattern recognition
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Coarse-grained event tree analysis for quantifying Hodgkin-Huxley neuronal network dynamics
Journal of Computational Neuroscience
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
NeuCube evospike architecture for spatio-temporal modelling and pattern recognition of brain signals
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
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