Threshold prediction for noise-modulated electrical stimuli using a stochastic auditory nerve model: Implications for cochlear implants

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 2002, Pages

  Xu, Yifang ^a   Collins, Leslie M ^a  

^a Duke University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FUNCTIONAL NEURAL STIMULATION; MARKOV PROCESSES; NEUROPHYSIOLOGY; SPEECH RECOGNITION;

GAUSSIAN FUNCTION; PROBABILITY MASS FUNCTION;

FUNCTIONAL ELECTRIC STIMULATION;

EID: 0036295863     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5745006     Document Type: Conference Paper

References (7)

1. Enhancement of vowel coding for cochlear implants by addition of noise
2. Additive noise can enhance temporal coding in a computational model of analogue cochlear implant stimulation
3. Additive noise can enhance temporal coding in a computational model of analogue cochlear implant stimulation
4. A stochastic model of the electrically stimulated auditory nerve: Single-pulse response
5. The relationship between variability in psychophysical thresholds and predictions from a stochastic mode of electrical stimulation
6. On the relationship between noise and speech recognition in cochlear implant subjects: A theoretical and psychophysical study
7. Transformed up-down methods in psychoacoustics