Abstract
For understanding the operation of some types of neural circuits, the computational approach is an essential complement to the traditional strategies of cellular analysis. Olfactory processing systems seem likely to operate as collective neural systems. Computer simulations have shown that collective networks are adept at classifying patterns of input activity based on imprecise or incomplete data. The spatial and temporal patterns of sensory neuron activity resulting from repeated presentations of a given odor are not likely to be highly specific and thus informationally imprecise from the viewpoint of any particular olfactory sensory cell. The sensory input pattern will be constant only when viewed over the entire ensemble of sensory cells. The analysis of olfactory processing and associative memory in the mollusk Umax maximus is being carried out at several levels. Behavioral experiments define the computational tasks accomplished by the olfactory system. Electrophysiological measurements and anatomical studies delimit the pathways of information flow and constrain the universe of plausible models.
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