DocumentCode
2082986
Title
An influence of spontaneous spike rates on information transmission in a spherical bushy neuron model with stochastic ion channels
Author
Arata, H. ; Mino, H.
Author_Institution
Grad. Sch. of Eng., Kanto Gakuin Univ., Yokohama, Japan
fYear
2012
fDate
Aug. 28 2012-Sept. 1 2012
Firstpage
1370
Lastpage
1373
Abstract
This article presents an effect of spontaneous spike firing rates on information transmission of the spike trains in a spherical bushy neuron model of antero-ventral cochlear nuclei. In computer simulations, the synaptic current stimuli ascending from auditory nerve fibers (ANFs) were modeled by a filtered inhomogeneous Poisson process modulated with sinusoidal functions, while the stochastic sodium and stochastic high- and low-threshold potassium channels were incorporated into a single compartment model of the soma in spherical bushy neurons. The information rates were estimated from the entropies of the inter-spike intervals of the spike trains to quantitatively evaluate information transmission in the spherical busy neuron model. The results show that the information rates increased, reached a maximum, and then decreased as the rate of spontaneous spikes from the ANFs increased, implying a resonance phenomenon dependent on the rate of spontaneous spikes from ANFs. In conclusion, this phenomenon similar to the stochastic resonance would be observed due to that spontaneous random spike firings coming from auditory nerves may act as an origin of fluctuation or noise, and these findings may play a key role in the design of better auditory prostheses.
Keywords
cochlear implants; entropy; hearing; neurophysiology; stochastic processes; antero-ventral cochlear nuclei; auditory nerve fibers; auditory nerves; auditory prostheses; computer simulations; entropy; filtered inhomogeneous Poisson process; information transmission; inter-spike intervals; noise; resonance phenomenon; sinusoidal functions; soma single compartment model; spherical bushy neuron model; spontaneous spike firing rates; stochastic high-threshold potassium channel; stochastic ion channels; stochastic low-threshold potassium channel; stochastic sodium; synaptic current stimuli; Computational modeling; Histograms; Information rates; Neurons; Noise; Stochastic processes; Stochastic resonance; Antero-ventral cochlear nucleus; Spherical bushy cell; Spontaneous spike rate; Stochastic Hodgkin-Huxley model; Action Potentials; Cochlear Nucleus; Humans; Ion Channels; Models, Neurological; Neurons; Poisson Distribution; Stochastic Processes; Synaptic Transmission;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location
San Diego, CA
ISSN
1557-170X
Print_ISBN
978-1-4244-4119-8
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/EMBC.2012.6346193
Filename
6346193
Link To Document