A whole-cell neurosensor: simulation of summed asynchronous neural activity

Author

Gaumond, R. ; Moyer, J. ; Silva, R.

Author_Institution

Bioeng. Dept., Pennsylvania State Univ., University Park, PA, USA

fYear

2002

fDate

2002

Firstpage

27

Lastpage

28

Abstract

We describe a Markov chain representation for the summed asynchronous neural discharge currents of neurons grown on an electrode surface. We show that the spectrum of the recorded current signal can be used to characterize the type of neuron on the electrode

Keywords

Markov processes; bioelectric potentials; biomedical electrodes; biosensors; cellular transport; neurophysiology; probability; Markov chain representation; asynchronous neural discharge currents; biosensor system; dorsal root ganglion; electrode surface grown neurons; minimal viable population; occupation probability; optimal electrode size; optimal number of cells; polymodal nociceptor neuron; recording bandwidth; resting potential; spectral representation; spike discharge rate; state transition probabilities; steady state probabilities; stochastic model; summed action potential signal; summed asynchronous neural activity; whole-cell neurosensor; Bandwidth; Biomedical engineering; Biosensors; Electrodes; Neurons; Signal design; Signal to noise ratio; Steady-state; Stochastic resonance; Surface discharges;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 2002. Proceedings of the IEEE 28th Annual Northeast

Conference_Location

Philadelphia, PA

Print_ISBN

0-7803-7419-3

Type

conf

DOI

10.1109/NEBC.2002.999448

Filename

999448