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The Journal of Neurophysiology Vol. 85 No. 6 June 2001, pp. 2303-2323
Copyright ©2001 by the American Physiological Society
1Department of Physiology, Hadassah Medical School and Center for Neural Computation, Hebrew University, Jerusalem 91120; and 2Department of Computer Science, Tel-Aviv University, Tel-Aviv 69978, Israel
Fishbach, Alon,
Israel Nelken, and
Yehezkel Yeshurun.
Auditory Edge Detection: A Neural Model for Physiological and
Psychoacoustical Responses to Amplitude Transients. J. Neurophysiol. 85: 2303-2323, 2001. Primary
segmentation of visual scenes is based on spatiotemporal edges that are
presumably detected by neurons throughout the visual system. In
contrast, the way in which the auditory system decomposes complex
auditory scenes is substantially less clear. There is diverse
physiological and psychophysical evidence for the sensitivity of the
auditory system to amplitude transients, which can be considered as a
partial analogue to visual spatiotemporal edges. However, there is
currently no theoretical framework in which these phenomena can be
associated or related to the perceptual task of auditory source
segregation. We propose a neural model for an auditory temporal edge
detector, whose underlying principles are similar to classical visual
edge detector models. Our main result is that this model reproduces
published physiological responses to amplitude transients collected at
multiple levels of the auditory pathways using a variety of
experimental procedures. Moreover, the model successfully predicts
physiological responses to a new set of amplitude transients, collected
in cat primary auditory cortex and medial geniculate body.
Additionally, the model reproduces several published psychoacoustical
responses to amplitude transients as well as the psychoacoustical data
for amplitude edge detection reported here for the first time. These
results support the hypothesis that the response of auditory neurons to
amplitude transients is the correlate of psychoacoustical edge detection.
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