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Only two additional processing channels, each with a feature detector and a readout neuron, plus one final coincidence detector for all three parallel signal streams, are needed to account for the behavioral data. In contrast to previous solutions to the general time-warp problem, no time delay lines or sophisticated neural architectures are required. Our results suggest a new computational role for feedforward inhibition and underscore the power of parallel signal processing.<\/jats:p>","DOI":"10.1162\/neco.2010.05-09-1016","type":"journal-article","created":{"date-parts":[[2010,2,8]],"date-time":"2010-02-08T21:44:20Z","timestamp":1265665460000},"page":"1493-1510","source":"Crossref","is-referenced-by-count":15,"title":["Timescale-Invariant Pattern Recognition by Feedforward Inhibition and Parallel Signal Processing"],"prefix":"10.1162","volume":"22","author":[{"given":"Felix","family":"Creutzig","sequence":"first","affiliation":[{"name":"Department Economics of Climate Change, Technische Universit\u00e4t Berlin, 10623 Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Benda","sequence":"additional","affiliation":[{"name":"Department of Biology and Bernstein Center for Computational Neuroscience M\u00fcnchen, Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, 82152 Martinsried, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandra","family":"Wohlgemuth","sequence":"additional","affiliation":[{"name":"Abt. 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