OLFACTORY COMPUTATION AND OBJECT PERCEPTION

被引:106
作者
HOPFIELD, JJ [1 ]
机构
[1] CALTECH,DIV BIOL,PASADENA,CA 91125
关键词
NEURAL NETWORK; LEARNING; SENSORY SYSTEMS;
D O I
10.1073/pnas.88.15.6462
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Animals that are primarily dependent on olfaction must obtain a description of the spatial location and the individual odor quality of environmental odor sources through olfaction alone. The variable nature of turbulent air flow makes such a remote sensing problem solvable if the animal can make use of the information conveyed by the fluctuation with time of the mixture of odor sources. Behavioral evidence suggests that such analysis takes place. An adaptive network can solve the essential problem, isolating the quality and intensity of the components within a mixture of several individual unknown odor sources. The network structure is an idealization of olfactory bulb circuitry. The dynamics of synapse change is essential to the computation. The synaptic variables themselves contain information needed by higher processing centers. The use of the same axons to convey intensity information and quality information requires time-coding of information. Covariation defines an individual odor source (object), and this may have a parallel in vision.
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页码:6462 / 6466
页数:5
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