Zusammenfassung
In diesem Kapitel wird ein neuronales Modell zur Verarbeitung von Schallsignalen eingeführt. Das Periodizitäts-Analyse-Netzwerk (PAN) ist ein bioinspiriertes neuronales Netzwerk spikender Neurone. Das PAN besteht aus komplexen neuronalen Modellen, die für die Untersuchung der Dynamik von einzelnen Neuronen und neuronalen Netzen benutzt werden können. Das Netzwerk kann Eigenschaften der Grundfrequenz von harmonischen Schallsignalen verarbeiten. Daher kann das PAN-Modell in klassischen schallverarbeitenden Anwendungen eingesetzt werden, wie z.B. zur Trennung von Schallquellen, zur Periodizitätsanalyse und zur Lösung des Cocktail-Party-Problems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Literatur
Blauert J (1999) The Psychophysics of Human Sound Localization. In: Spatial Hearing, 2nd ed., MIT Press, Cambridge, MA
Slaney M, Lyon RF (1990) A perceptual pitch detector. Proc IEEE Int Conf Acoustics Speech and Signal Processing 1: 357–360
Tolonen T, Karjalainen M (2000) A computationally efficient multipitch analysis model. IEEE Trans Speech Audio Processing 8(6): 708–716
Bhadkamkar N, Fowler B (1993) A sound localization system based on biological analogy. IEEE
Shamma SA, Shen N, Gopalaswamy P (1989) Stereausis: Binaural processing without neural delays. J Acoustic Society Am 86: 989–1006
Adamy J, Voutsas K, Willert V (2003) A binaural sound localization system for mobile robots in low-reflecting environments. Automatisierungstechnik 51: 387–395
Bower JM, Beeman D (1998) The book of GENESIS: Exploring realistic neural models wit the GEneral NEural SImulation System. 2nd ed., Springer, New York
Hines ML, Carnevale NT (1997) The NEURON simulation environment. Neural Computat 9: 1179–1209
Weitzenfeld A, Arbib MA, Alexander A (2002) The neural simulation language, a system for brain modelling. MIT Press, Cambridge, MA
Koch C, Segev I (1998) Methods in neuronal modelling, From Ions to Networks. In: Koch C, Segev I (eds), 2nd ed., MIT Press, Cambridge, MA
Langner G (1998) Neuronal periodicity coding and pitch effects. In: Poon, Brugge (eds) Central Auditory Processing and Neural Modeling. Plenum Press, New York, pp 31–41
Ehret G, Romand R (1997) The central auditory system. Oxford Univ Pr, New York
Douglas LO (2001) Ascending efferent projections of the superior olivary complex. Microscopy Research and Technique 51: 340–348
Langner G et al. (2002) Temporal and spatial coding of periodicity information in the inferior colliculus of awake chinchilla. Hearing Research 168: 110–130
Ochse M, Langner G (2003) Modulation tuning in the auditory midbrain of gerbils: bandpasses are formed by inhibition. Proc 5th Meet German Neurosci Soc, S 434–435
Langner G (1983) Evidence for neuronal periodicity detection in the auditory system of the guinea fowl: implications for pitch analysis in the time domain. Exp Brain Research 52: 333–355
Langner G, Schreiner CE (1996) Contributions of the auditory brainstem to periodicity pitch coding. Advances in Speech, Hearing and Language Processing, 3(B): 447–461
Langner G (1992) Periodicity coding in the auditory system. Hearing Res. 60: 115–142
Langner G, Schreiner CE (1988) Periodicity coding in the inferior colliculus of the cat. Part I. Neuronal mechanisms. J Neurophysiol 60: 1799–1822
Langner G, Sams M, Heil P, Schulze H (1997) Frequency and periodicity are represented in orthogonal maps in the human auditory cortex: evidence from magnetoencephalography. Journal Comp Physiol 181: 665–676
Batra R, Fitzpatrick DC (2002) Monaural and binaural processing in the ventral nucleus of the lateral lemniscus: a major source of inhibition to the inferior colliculus. Hearing Research 168: 90–97
Patterson R, Nimmo-Smith I, Holdsworth J, Rice P (1988) Spiral VOS final report: Part A, the auditory filterbank. Internal Report, University of Cambridge, England
Slaney M (1988) Lyon's cochlear Model. Apple Computer, Tech Rept TR-13
Slaney M (1993) An efficient Implementation of the Patterson-Holdsworth auditory filter bank. Apple Computer, Tech Rept TR-35
Gerstner W (2003) Integrate-and-Fire Neurons and Networks. In: Arbib MA (ed) The Handbook of Brain Theory and Neural Networks. 2nd ed., MIT Press, Cambridge, pp 577–581
Koch C, Mo H, Softky W (2003) Single-Cell Models. In: Arbib MA (ed) The Handbook of Brain Theory and Neural Networks. 2nd ed., MIT Press, Cambridge, pp 1044–1049
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Voutsas, K., Langner, G., Adamy, J., Ochse, M. (2005). Ein bionisches neuronales Netz zur Periodizitätsanalyse. In: Bionik. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26948-7_10
Download citation
DOI: https://doi.org/10.1007/3-540-26948-7_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21890-6
Online ISBN: 978-3-540-26948-9
eBook Packages: Computer Science and Engineering (German Language)