Title :
Modeling stimulus-response functions in the auditory system
Author :
Luczak, A. ; Hackett, T.A. ; Kajikawa, Y. ; Laubach, M.
Author_Institution :
John B. Pierce Lab., Yale Univ., New Haven, CT, USA
Abstract :
In this paper we describe a novel approach to evaluate stimulus-response functions of neurons in the auditory system. This method can account for spectral and other features of acoustic stimuli, e.g. amplitude of sound envelope, sound direction, etc. This approach allows us to investigate the Importance of a diverse set of stimulus features for processing sounds by auditory neurons. It also allows for the design of stimulus-response filters based on neuronal receptive fields, i.e., "neurolets", which are described here as examples of potentially new sound processing methods inspired by neuronal processing.
Keywords :
auditory evoked potentials; brain models; least squares approximations; medical signal processing; neurophysiology; auditory neurons; auditory system; brain machine interface; diverse set; neurolets; neuronal processing; neuronal receptive fields; neurons; sound direction; sound envelope; sounds processing; stimulus features; stimulus-response filter design; stimulus-response function modelling; Auditory system; Biomedical signal processing; Computer science; Filters; Laboratories; Neurons; Principal component analysis; Radio frequency; Spectrogram; Speech analysis;
Conference_Titel :
Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of
Print_ISBN :
0-7803-7767-2
DOI :
10.1109/NEBC.2003.1215981