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Laurel H. Carney

Researcher at University of Rochester

Publications -  151
Citations -  5594

Laurel H. Carney is an academic researcher from University of Rochester. The author has contributed to research in topics: Inferior colliculus & Population. The author has an hindex of 37, co-authored 130 publications receiving 5056 citations. Previous affiliations of Laurel H. Carney include Massachusetts Institute of Technology & Boston University.

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Enhancement of neural synchronization in the anteroventral cochlear nucleus. I. Responses to tones at the characteristic frequency

TL;DR: Auditory nerve fibers synchronize or phase-lock to low-frequency tones and transmit this temporal information to cells in the anteroventral cochlear nucleus of the AVCN, and it is found that most TB axons exhibited enhanced synchronization compared with AN fibers.
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A phenomenological model of the synapse between the inner hair cell and auditory nerve: Long-term adaptation with power-law dynamics

TL;DR: A model of rate adaptation at the synapse between inner hair cells and auditory-nerve fibers that includes both exponential and power-law dynamics is presented here and is capable of accurately predicting several sets of AN data.
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Projections of physiologically characterized globular bushy cell axons from the cochlear nucleus of the cat

TL;DR: In this paper, the axons of 30 individual globular bushy cell axons in the trapezoid body of the cat were recorded using HRP-filled glass microelectrodes.
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A phenomenological model for the responses of auditory-nerve fibers: I. Nonlinear tuning with compression and suppression.

TL;DR: A phenomenological model was developed to describe responses of high-spontaneous-rate auditory-nerve (AN) fibers, including several nonlinear response properties, which provides a tool for studying the roles of these nonlinearities in the encoding of simple and complex sounds in the responses of populations of AN fibers.
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Updated parameters and expanded simulation options for a model of the auditory periphery

TL;DR: The parameters of the synapse model have been readjusted to better simulate reported physiological discharge rates at saturation for higher characteristic frequencies and an analytical method has been implemented to compute the mean discharge rate and variance from the model's synapse output that takes into account the effects of absolute refractoriness.