Brain Inspired Computing

Dr Stephen Lynch (Manchester Metropolitan University)

Frank Adams 1, Alan Turing Building (TBC),

The talk will focus on mathematical models of neurons, binary oscillator threshold logic and two of five possible avenues of research. Binary oscillator technology can be applied to the design of Arithmetic Logic Units (ALU)s, memory and other basic computing components. It has the potential to provide revolutionary computational speed-up, energy saving and novel applications and may be applicable to a variety of technological paradigms including CMOS, neurons, memristors, superconducting materials and optical fibres. The research has the potential for MMU and industrial partners to develop super-fast, super-cooled, low-power computers and may provide an assay for neuronal degradation for brain malfunctions such as epilepsy, Alzheimer's and Parkinson's disease. The work is the subject of UK, International and Taiwanese patents.

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