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Integration of Wind Sensors and Analogue VLSI for an Insect-Inspired Robot
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Integration of Wind Sensors and Analogue VLSI for an Insect-Inspired Robot
Y. Zhang1, A. Hamilton1, R. Cheung2, B. Webb3, P. Argyrakis2 and T. Gonos3
| (1) |
School of Engineering and Electronics, University of Edinburgh, King’s Buildings, Mayfield Road, Edinburgh, EH9 3JL, UK |
| (2) |
School of Engineering and Electronics, Scottish Microelectronics Centre, University of Edinburgh, King’s Buildings, West Mains
Road, Edinburgh, EH9 3JF, UK |
| (3) |
School of Informatics, University of Edinburgh, King’s Buildings, Mayfield Road, Edinburgh, EH9 3JL, UK |
Abstract
We have designed an adaptive analogue VLSI neuromorphic chip that will be used to interface MEM wind sensors to an insect-inspired
robot. The main chip components are a sensory interface circuit to amplify the signal from the MEM device, and integrate and
fire neurons with adaptive firing thresholds. The chip has been implemented using Austria Microsystem System’s 0.35 μm CMOS technology. We report the response of the prototype sensor to a wind stimulus, and show the neural circuit can reproduce
the adaptive behaviour of biological sensory neurons.
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