Implementation of a neuromorphic vestibular sensor with analog VLSI neurons
| Autor: | Federico Corradi, Cecilia Laschi, Giacomo Indiveri, Giovanni Passetti, Davide Zambrano, Marco Raglianti |
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| Přispěvatelé: | University of Zurich |
| Rok vydání: | 2013 |
| Předmět: |
Very-large-scale integration
Vestibular system Engineering business.industry 1708 Hardware and Architecture 2208 Electrical and Electronic Engineering 020208 electrical & electronic engineering 2204 Biomedical Engineering 02 engineering and technology Neurophysiology Chip 03 medical and health sciences 0302 clinical medicine Neuromorphic engineering Inertial measurement unit 0202 electrical engineering electronic engineering information engineering Electronic engineering 570 Life sciences biology Biomimetics business 030217 neurology & neurosurgery 10194 Institute of Neuroinformatics Cellular biophysics |
| Zdroj: | BioCAS |
| DOI: | 10.1109/biocas.2013.6679667 |
| Popis: | This work aims at implementing an event driven neuromorphic vestibular sensor using a commercial Inertial Measurement Unit (IMU) and a custom analog VLSI neuromorphic chip. We investigate a model of the vestibular sensor that emulates the spiking responses of hair cells in the semicircular canals. We calibrate the neuromorphic chip to match the parameters of a neuroscientific computational model. Experimental results validating the hardware implementation and the calibration procedure are presented. |
| Databáze: | OpenAIRE |
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