Auditory edge detection: A neural model for physiological and psychoacoustical responses to amplitude transients. Fishbach, A, Nelken, I, & Yeshurun, Y J Neurophysiol, 85(6):2303-23, 2001. abstract bibtex 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.
@Article{Fishbach2001,
author = {A Fishbach and I Nelken and Y Yeshurun},
journal = {J Neurophysiol},
title = {Auditory edge detection: {A} neural model for physiological and psychoacoustical responses to amplitude transients.},
year = {2001},
number = {6},
pages = {2303-23},
volume = {85},
abstract = {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.},
keywords = {Animals, Auditory Cortex, Auditory Perception, Auditory Threshold, Cats, Evoked Potentials, Auditory, Brain Stem, Models, Neurological, Neurons, Psychoacoustics, Reaction Time, Support, Non-U.S. Gov, ', t, 11387378},
}
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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.","keywords":"Animals, Auditory Cortex, Auditory Perception, Auditory Threshold, Cats, Evoked Potentials, Auditory, Brain Stem, Models, Neurological, Neurons, Psychoacoustics, Reaction Time, Support, Non-U.S. Gov, ', t, 11387378","bibtex":"@Article{Fishbach2001,\n author = {A Fishbach and I Nelken and Y Yeshurun},\n journal = {J Neurophysiol},\n title = {Auditory edge detection: {A} neural model for physiological and psychoacoustical responses to amplitude transients.},\n year = {2001},\n number = {6},\n pages = {2303-23},\n volume = {85},\n abstract = {Primary segmentation of visual scenes is based on spatiotemporal edges\n\tthat are presumably detected by neurons throughout the visual system.\n\tIn contrast, the way in which the auditory system decomposes complex\n\tauditory scenes is substantially less clear. There is diverse physiological\n\tand psychophysical evidence for the sensitivity of the auditory system\n\tto amplitude transients, which can be considered as a partial analogue\n\tto visual spatiotemporal edges. However, there is currently no theoretical\n\tframework in which these phenomena can be associated or related to\n\tthe perceptual task of auditory source segregation. We propose a\n\tneural model for an auditory temporal edge detector, whose underlying\n\tprinciples are similar to classical visual edge detector models.\n\tOur main result is that this model reproduces published physiological\n\tresponses to amplitude transients collected at multiple levels of\n\tthe auditory pathways using a variety of experimental procedures.\n\tMoreover, the model successfully predicts physiological responses\n\tto a new set of amplitude transients, collected in cat primary auditory\n\tcortex and medial geniculate body. 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