caa a22 4500 463244958 CHVBK 20180405153323.0 cr unu---uuuuu 170326e20070901xx s 000 0 eng 10.1007/s00422-007-0173-1 doi (NATIONALLICENCE)springer-10.1007/s00422-007-0173-1 Neuronal identification of acoustic signal periodicity [Elektronische Daten] [Paul Friedel, Moritz Bürck, J. Leo van Hemmen] Acoustic signals transmit information by temporal characteristics and envelope periodicity as well as by their frequency content. Many animals can extract the frequency content of a signal by means of specialized organs such as the cochlea but for the detection and identification of higher-order periodicity, e.g., amplitude modulations, this type of organ is useless. In addition, many animals do not have a cochlea but still depend on a reliable identification of different frequencies in the vast variety of acoustic signals they perceive in their natural environment. Hence, neural mechanisms to decode periodicity information must exist. We present a detailed mathematical analysis of a recurrent and a feedforward model of neuronal periodicity extraction and discuss basic constraints for neuronal circuitry performing such a task in a biological system. Both the recurrent and the feedforward model perform well using neuronal parameters typical for the auditory system. Performance is limited mainly by the temporal precision of the connections between the neurons. Springer-Verlag, 2007 Periodicity detection nationallicence Auditory signal processing nationallicence Neuronal modeling nationallicence Friedel Paul Physik Department T35, Technische Universität München, 85748, Garching bei München, Germany aut Bürck Moritz Physik Department T35, Technische Universität München, 85748, Garching bei München, Germany aut Leo van Hemmen J. Physik Department T35, Technische Universität München, 85748, Garching bei München, Germany aut Biological Cybernetics Springer-Verlag 97/3(2007-09-01), 247-260 0340-1200 97:3<247 2007 97 422 https://doi.org/10.1007/s00422-007-0173-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00422-007-0173-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Friedel Paul Physik Department T35, Technische Universität München, 85748, Garching bei München, Germany aut NATIONALLICENCE 700 1- Bürck Moritz Physik Department T35, Technische Universität München, 85748, Garching bei München, Germany aut NATIONALLICENCE 700 1- Leo van Hemmen J. Physik Department T35, Technische Universität München, 85748, Garching bei München, Germany aut NATIONALLICENCE 773 0- Biological Cybernetics Springer-Verlag 97/3(2007-09-01), 247-260 0340-1200 97:3<247 2007 97 422 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer