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Representing one odor from the viewpoint of another then allows a common description of the most important basic problems and shows how to solve them when N is large. One possible biological implementation of these algorithms uses action potential timing and adaptation as the \u201chardware\u201d features that are responsible for effective neural computation.<\/jats:p>","DOI":"10.1073\/pnas.96.22.12506","type":"journal-article","created":{"date-parts":[[2002,7,26]],"date-time":"2002-07-26T14:41:48Z","timestamp":1027694508000},"page":"12506-12511","update-policy":"http:\/\/dx.doi.org\/10.1073\/pnas.cm10313","source":"Crossref","is-referenced-by-count":101,"title":["Odor space and olfactory processing: Collective algorithms and neural implementation"],"prefix":"10.1073","volume":"96","author":[{"given":"J. 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