How birds identify species information in song: A pattern recognition approach |
| |
| Institution: | 1. Laboratoire d’Ingénierie de Surface, Centre de Recherche sur les Matériaux Avancés, Département de génie des mines, de la métallurgie et des matériaux, Université Laval, 1045 avenue de la Médecine, Québec G1V 0A6, Canada;2. Centre de recherche du CHU de Québec-Université Laval, Hôpital St-François d’Assise, 10 rue de l’Espinay, Québec G1L 3L5, Canada;1. Neuroscience Program, Michigan State University, East Lansing, MI 48824-1101, USA;2. Department of Psychology, Michigan State University, East Lansing, MI 48824-1101, USA;3. Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA;1. Department of Biology, Alma College, Alma, MI, U.S.A.;2. Department of Evolution, Ecology and Organismal Biology, The Ohio State University at Newark, Newark, OH, U.S.A.;3. Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, U.S.A. |
| |
| Abstract: | Pattern recognition theory (PRT) is a diverse array of models concerned with the recognition of spatial and temporal patterns by humans and machines. We have sought to use the theory to help us understand how passerines identify species information in conspecific song. In this paper, application of PRT provided (a) a tentative model for song recognition, (b) an improved methodology for song playback experiments, and (c) a theoretical analysis of the representation of the temporal structure of song. In each instance, PRT suggested better experiments and more detailed analyses than had been available previously. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
