By Ray Meddis, Enrique Lopez-Poveda, Richard R. Fay, Arthur N. Popper
This quantity, Computational types of the Auditory process, has as a structures process the place the point of interest is on reviews which give a contribution to the massive photograph of listening to. In impact, the paintings lined during this quantity, and the quantity itself, builds a world version of audition. The chapters, instead of targeting info of person elements of the listening to method, tackle the worries of readers and researchers who need to know how the auditory process works as a whole.
- Overview - Raymond Meddis and Enrique A. Lopez-Poveda
- Auditory outer edge; from the pinna to the auditory nerve Raymond Meddis and Enrique A. Lopez-Poveda
- The Cochlear Nucleus - the hot Frontier Herbert F. Voigt and Xiaohan Zheng
- Models of the very best Olivary advanced Todd R. Jennings and H. Steven Colburn
- Auditory Cortex: the ultimate Frontier Jos J. Eggermont
- Computational versions of Inferior Colliculus Neurons Kevin A. Davis, Kenneth E. Hancock, and Bertrand Delgutte
- Computational Modeling of Sensorineural listening to Loss Michael G. Heinz.
- Physiological versions of Auditory Scene research man J. Brown
- Use of Auditory types in constructing Coding options for Cochlear Implants Blake S. Wilson, Enrique A. Lopez-Poveda, and Reinhold Schatzer
- Silicon types of the Auditory Pathway André van Schaik, Tara Julia Hamilton, and Craig Jin
About the Editors:
Raymond Meddis is Director of the listening to examine Laboratory within the division of Psychology on the college of Essex. Enrique A. Lopez-Poveda is Director of the Auditory Computation and Psychoacoustics Unit of the Neuroscience Institute of Castilla y León, college of Salamanca. Arthur N. Popper is Professor within the division of Biology and Co-Director of the heart for Comparative and Evolutionary Biology of listening to on the collage of Maryland, collage Park. Richard R. Fay is Director of the Parmly listening to Institute and Professor of Psychology at Loyola collage of Chicago.
About the series:
The Springer guide of Auditory examine provides a chain of artificial studies of basic issues facing auditory platforms. each one quantity is self sufficient and authoritative; taken as a suite, this sequence is the definitive source within the box.
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Extra resources for Computational Models of the Auditory System
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New York: Springer, pp. 541–550. Gockel H, Moore BCJ, Patterson RD, Meddis R (2003) Louder sounds can produce less forward masking effects: effects of component phase in complex tones. J Acoust Soc Am 114: 978–990. Goldstein JL (1966) Auditory nonlinearity. J Acoust Soc Am 41:676–689. Goldstein JL (1988) Updating cochlear driven models of auditory perception: a new model for nonlinear auditory frequency analysing filters. In: Elsendoorn BAG, Bouma H (eds), Working Models of Human Perception. London: Academic, pp.
Spatial gradients of neurons have been described in both the AVCN and DCN. For example, large spherical cells of the AVCN are highly concentrated in the rostral pole of the AVCN and become less so caudally. All three subnuclei are tonotopically organized and have their own output pathways for their principal neurons. 1). Silicone-based van Schaik et al. 1 Models of the cochlear nucleus Implementation AVCN Computational single neuron models Stellate Cells Arle and Kim 1991; Banks and Sachs 1991; Hewitt et al.