Conference Proceeding

Design of a Spike Event Coded RGT Microphone for Neuromorphic Auditory Systems

Details

Citation

Koickal TJ, Latif R, Gouveia L, Mastropaolo E, Wang S, Hamilton A, Cheung R, Newton M & Smith L (2011) Design of a Spike Event Coded RGT Microphone for Neuromorphic Auditory Systems. In: 2011 IEEE International Symposium on Circuits and Systems (ISCAS). 2011 IEEE International Symposium on Circuits and Systems, Rio de Janeiro, Brazil, 15.05.2011-18.05.2011. Hoboken, NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 2465-2468. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5938103; https://doi.org/10.1109/ISCAS.2011.5938103

Abstract
This paper presents the design of a spike event coded resonant gate transistor microphone system for neuromorphic auditory applications. The microphone system employs an array of resonant gate transistors (RGT) to transduce acoustic input directly into bandpass filtered analog outputs. The bandpass filtered analog outputs are encoded as spike time events by a spike event coder and are then transmitted asynchronously by using the Address Event Representation (AER) protocol. The microphone system is designed to receive external inputs in the spike time domain to actively control the RGT response, a feature not present in other MEMS microphone systems implemented so far. System level simulations showing the response of the RGT sensor model and its spike event coded response are presented.

Keywords
; Signal processing Congresses.; Electric circuits, Linear Congresses

StatusPublished
Publication date31/05/2011
URLhttp://hdl.handle.net/1893/9756
Related URLshttp://www.ieee.org/…ml?Conf_ID=16575
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Publisher URLhttp://ieeexplore.ieee.org/…arnumber=5938103
Place of publicationHoboken, NJ
ISBN978-1-4244-9473-6
Conference2011 IEEE International Symposium on Circuits and Systems
Conference locationRio de Janeiro, Brazil
Dates

People (1)

Professor Leslie Smith

Professor Leslie Smith

Emeritus Professor, Computing Science