Title :
Towards a Bionic Neural Link for Implantable Prosthetics
Author :
Li, Xiaoying ; Constandinou, Timothy G. ; Eftekhar, Amir ; Georgiou, Pantelis ; Toumazou, Chris
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. London
Abstract :
This paper presents a biologically-inspired ´silicon neural link´, encompassing a neurochemical sensor array, an asynchronous artificial-neural bus and an interleaved biphasic stimulus generator. The proposed system is intended for neuroprosthetic application; employing an array of ISFET-based spiking neurons to convey measured neuronal data across a damaged neural pathway to a target stimulation site. A 48 dB dynamic range is achieved by encoding the neural signal in the time-domain, using accumulating address-events to modulate the biphasic waveform. The electrical stimulation is delivered via a bipolar electrode configuration in a continuous interleave sampling strategy. This has been implemented in a commercially available 035mum CMOS technology.
Keywords :
biocybernetics; biomedical electrodes; neural nets; prosthetics; 35 micron; ISFET-based spiking neurons; bionic neural link; biphasic waveform; bipolar electrode; continuous interleave sampling; damaged neural pathway; electrical stimulation; implantable prosthetics; neural signal; neuroprosthetic application; silicon neural link; Biological information theory; Biosensors; CMOS technology; Dynamic range; Encoding; Neural pathways; Neural prosthesis; Neurons; Sensor arrays; Silicon;
Conference_Titel :
Neural Engineering, 2007. CNE '07. 3rd International IEEE/EMBS Conference on
Conference_Location :
Kohala Coast, HI
Print_ISBN :
1-4244-0792-3
Electronic_ISBN :
1-4244-0792-3
DOI :
10.1109/CNE.2007.369618