Recognition of partly occluded patterns: A neural network model

Biological Cybernetics

Volumn 84, Issue 4, 2001, Pages 251-259

  Fukushima, Kunihiko ^a  

^a UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; COMPUTER SIMULATION; COMPUTER SYSTEM; HUMAN; PATTERN RECOGNITION; PHYSIOLOGY;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; COMPUTER SYSTEMS; HUMANS; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, VISUAL;

EID: 0035316725     PISSN: 03401200     EISSN: None     Source Type: Journal    
DOI: 10.1007/s004220000210     Document Type: Article

References (9)

1. Fukushima K (1987) Neural network model for selective attention in visual pattern recognition and associative recall. Appl Optics 26: 4985-4992
2. Fukushima K (1988) Neocognitron: a hierarchical neural network capable of visual pattern recognition. Neural Netw 1: 119-130
3. Fukushima K, Miyake S (1982) Neocognitron: a new algorithm for pattern recognition tolerant of deformations and shifts in position. Pattern Recognition 15(6): 455-469
4. Fukushima K, Tanigawa M (1996) Use of different thresholds in learning and recognition. Neurocomputing 11: 1-17
5. Fukushima K, Nagahara K, Shouno H (1997) Training neocognitron to recognize handwritten digits in the real world. In: Proc The Second Aizu International Symposium on Parallel Algorithms/Architectures Synthesis (pAs'97), Aizu-Wakamatsu, Japan. IEEE Computer Society Press, Los Alamitos, CA. pp 292-298
6. Hubel DH, Wiesel TN (1962) Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J Physiol (Lond) 160: 106-154
7. Hubel DH, Wiesel TN (1965) Receptive fields and functional architecture in nonstriate areas (18 and 19) of the cat. J Neurophysiol 28: 229-289
8. Ramachandran VS (1992) Blind spots. Sci Am 266(5): 44-49
9. Ramachandran VS (1993) Filling in gaps in perception: II. Scotomas and phantom limbs. Curr Dir Psychol Sci 2(2): 65