A VLSI field-programmable mixed-signal array to perform neural signal processing and neural modeling in a prosthetic system
Autor: | Aryeh H. Taub, Roni Hogri, Ivan Herreros, Simeon A. Bamford, Paul F. M. J. Verschure, Matti Mintz, P. Del Giudice, Andrea Giovannucci |
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Rok vydání: | 2012 |
Předmět: |
Computer science
Conditioning Classical Models Neurological Biomedical Engineering Context (language use) 02 engineering and technology User-Computer Interface 03 medical and health sciences 0302 clinical medicine Cerebellum 0202 electrical engineering electronic engineering information engineering Internal Medicine Electronic engineering Animals Computer Simulation Brain–computer interface Very-large-scale integration Signal processing Blinking business.industry General Neuroscience 020208 electrical & electronic engineering Rehabilitation Classical conditioning Electroencephalography Signal Processing Computer-Assisted Mixed-signal integrated circuit Equipment Design Prostheses and Implants Extinction (psychology) Switched capacitor Electric Stimulation Rats Equipment Failure Analysis business 030217 neurology & neurosurgery Computer hardware |
Zdroj: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
ISSN: | 1558-0210 1534-4320 |
DOI: | 10.1109/TNSRE.2012.2187933 |
Popis: | A very-large-scale integration field-programmable mixed-signal array specialized for neural signal processing and neural modeling has been designed. This has been fabricated as a core on a chip prototype intended for use in an implantable closed-loop prosthetic system aimed at rehabilitation of the learning of a discrete motor response. The chosen experimental context is cerebellar classical conditioning of the eye-blink response. The programmable system is based on the intimate mixing of switched capacitor analog techniques with low speed digital computation; power saving innovations within this framework are presented. The utility of the system is demonstrated by the implementation of a motor classical conditioning model applied to eye-blink conditioning in real time with associated neural signal processing. Paired conditioned and unconditioned stimuli were repeatedly presented to an anesthetized rat and recordings were taken simultaneously from two precerebellar nuclei. These paired stimuli were detected in real time from this multichannel data. This resulted in the acquisition of a trigger for a well-timed conditioned eye-blink response, and repetition of unpaired trials constructed from the same data led to the extinction of the conditioned response trigger, compatible with natural cerebellar learning in awake animals. |
Databáze: | OpenAIRE |
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