Using Spatio-temporal Correlations to Learn Invariant Object Recognition
- 1 December 1996
- journal article
- Published by Elsevier in Neural Networks
- Vol. 9 (9) , 1513-1519
- https://doi.org/10.1016/s0893-6080(96)00041-x
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Neocognitron: A hierarchical neural network capable of visual pattern recognitionPublished by Elsevier ,2003
- Separate visual pathways for perception and actionPublished by Elsevier ,2003
- Character recognition with neural networksNeurocomputing, 1992
- Neurophysiological mechanisms underlying face processing within and beyond the temporal cortical visual areasPhilosophical Transactions Of The Royal Society B-Biological Sciences, 1992
- Learning Invariance from Transformation SequencesNeural Computation, 1991
- Backpropagation Applied to Handwritten Zip Code RecognitionNeural Computation, 1989
- Neuronal correlate of visual associative long-term memory in the primate temporal cortexNature, 1988
- Toward a modern theory of adaptive networks: Expectation and prediction.Psychological Review, 1981
- Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in positionBiological Cybernetics, 1980
- ADAPTIVE SWITCHING CIRCUITSPublished by Defense Technical Information Center (DTIC) ,1960