Evaluating Auditory Performance Limits: I. One-Parameter Discrimination Using a Computational Model for the Auditory Nerve

DOI10.1162/089976601750541804zbMath1038.91074OpenAlexW2120899535WikidataQ50490185 ScholiaQ50490185MaRDI QIDQ2762428

Laurel H. Carney, H. Steven Colburn, Michael G. Heinz

Publication date: 16 July 2003

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976601750541804

zbMATH Keywords

signal detection theoryauditory nerveauditory discriminationpsychophysical performance limitsstochastic neural responses

Mathematics Subject Classification ID

Neural biology (92C20) Psychophysics and psychophysiology; perception (91E30)

Related Items (5)

Stochastic Properties of Coincidence-Detector Neural Cells ⋮ A USE OF NONPARAMETRIC TESTS FOR DEA-DISCRIMINANT ANALYSIS: A METHODOLOGICAL COMPARISON ⋮ Modeling of spike trains in auditory nerves with self-exciting point processes of the von Mises type ⋮ Mixed integer programming approach of extended DEA--discriminant analysis. ⋮ DEA-discriminant analysis: methodological comparison among eight discriminant analysis approaches

This page was built for publication: Evaluating Auditory Performance Limits: I. One-Parameter Discrimination Using a Computational Model for the Auditory Nerve