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Neuromorphic computing with memristors: Preliminary experimental results

Gale, Ella; de Lacy Costello, Ben; Adamatzky, Andrew

Authors

Ella Gale ella.gale@uwe.ac.uk



Abstract

Individual memristors have been observed demonstrating neuron-like spiking patterns. It has been shown
elsewhere that memristors provide superior modelling for neurons then the Hodgkin-Huxley model. Due to
these results we expect memristors to be essential componentns for the construction of neuromorphic
architectures. Simple circuits of two and three real world memristors were constructed and oscillatory and
spike train behaviour was observed in them. An investigation into the minimal circuit size for complex
behaviour was undertaken.

Presentation Conference Type Poster
Start Date Nov 21, 2011
Publication Date Nov 21, 2011
Peer Reviewed Peer Reviewed
APA6 Citation Gale, E., de Lacy Costello, B., & Adamatzky, A. (2011, November). Neuromorphic computing with memristors: Preliminary experimental results. Poster presented at Building Bridges to Build Brains
Keywords memristor, neuromorphic computing, brainwaves, neuroscience, unconventional computing, computer science
Additional Information Title of Conference or Conference Proceedings : Building Bridges to Build Brains

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