Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/9756
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Koickal, Thomas Jacob
Latif, Rhonira
Gouveia, Luiz
Mastropaolo, Enrico
Wang, Shiwei
Hamilton, Alister
Cheung, Rebecca
Newton, Michael
Smith, Leslie
Contact Email: lss@cs.stir.ac.uk
Title: Design of a Spike Event Coded RGT Microphone for Neuromorphic Auditory Systems
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), Hoboken, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2011 IEEE International Symposium on Circuits and Systems, pp. 2465-2468.
Issue Date: May-2011
Conference Name: 2011 IEEE International Symposium on Circuits and Systems
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.
Type: Conference Paper
Status: Publisher version
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.
URI: http://hdl.handle.net/1893/9756
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5938103
Affiliation: University of Edinburgh
University of Edinburgh
University of Edinburgh
University of Edinburgh
University of Edinburgh
University of Edinburgh
University of Edinburgh
Computing Science - CSM Dept
Computing Science - CSM Dept

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