Details of Grant 

EPSRC Reference:	EP/C015789/1
Title:	Programmable Analogue VLSI Architectures based upon Event Representation Coding
Principal Investigator:	Hamilton, Dr A
Other Investigators:
Researcher Co-Investigators:	Dr T Koikal
Project Partners:
Department:	Sch of Engineering
Organisation:	University of Edinburgh
Scheme:	Standard Research (Pre-FEC)
Starts:	21 July 2005	Ends:	20 May 2009	Value (£):	357,621
EPSRC Research Topic Classifications:	Biomedical neuroscience VLSI Design
EPSRC Industrial Sector Classifications:	Electronics
Related Grants:
Panel History:
Summary on Grant Application Form
The efficient manner in which animals encode, process and transmit information has inspired many researchers to apply principles of biology to engineering design. Experimental studies have shown that the brain encodes and transmits signals using event representation coding. In many theoretical models information is encoded in the pattern of these events mapped over time and space. This form of signal representation, where events are represented as voltage spikes, has been successfully applied to solve real world problems in recent times. Analogue VLSI implementations include models of the auditory pathway, vision and olfaction. Recent industrial developments have seen an increase in the availability of programmable analogue devices and a coincident increase in academia in novel circuit techniques for programmable analogue circuit implementation and novel applications for such devices. The world of analogue circuits is beginning to be revolutionised by the flexibility, ease of prototyping and run time reconfigurability that programmable architectures promise. Programmable analogue VLSI architectures employ classical engineering approaches to problem solving, or entirely novel strategies coming out of the University sector. However, no research to date combines the essentially asynchronous power of event representation coding with the reconfigurability of programmable analogue VLSI architectures. In this research proposal therefore, we aim to combine our strengths in programmable analogue hardware and neuromorphic VLSI design in order to undertake new research into programmable analogue VLSI architectures based upon event representation coding. The objective is to develop an entirely novel class of programmable analogue circuits and VLSI architectures that will capture the computational power and efficiency of biology through the use of event representation coding.
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Organisation Website:	http://www.ed.ac.uk