Title :
Auditory Information Coding by Cochlear Nucleus Onset Neurons
Author :
Wang, Huan ; Holmberg, Marcus ; Hemmert, Werner
Author_Institution :
Infineon Technol. Inc., Munich
Abstract :
In this paper we use information theory to quantify the information in the output spike trains of modeled cochlear nucleus onset neurons. Onset neurons are known for their precise temporal processing, and they code the periodicity of voiced speech with high fidelity. We conclude that the maximum information transmission rate for a single neuron is close to 1000 bits/s, which corresponds to 3.26 bits/spike. For quasi-periodic signals like voiced speech, the transmitted information saturates with word duration, with 90% of the information being transmitted within 73 ms. Information theory also shows that the maximum temporal resolution of onset neurons is approximately 0.1 ms
Keywords :
ear; neural nets; speech coding; auditory information coding; cochlear nucleus onset neurons; information theory; quasi-periodic signals; temporal processing; voiced speech; Auditory system; Brain modeling; Character generation; Ear; Frequency; Information theory; Neurons; Psychoacoustic models; Signal resolution; Speech coding;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1661229