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Observation, characterization and modeling of memristor current spikes (2013)
Journal Article
Gale, E., de Lacy Costello, B., & Adamatzky, A. (2013). Observation, characterization and modeling of memristor current spikes. https://doi.org/10.12785/amis/070418

Memristors have been compared to neurons (usually specifically the synapses) since 1976 but no experimental evidence has been offered for support for this position. Here we highlight that memristors naturally form fast-response, highly reproducible a... Read More about Observation, characterization and modeling of memristor current spikes.

Beyond Markov chains, towards adaptive memristor network-based music generation (2013)
Presentation / Conference
Gale, E., Matthews, O., de Lacy Costello, B., & Adamatzky, A. (2013, April). Beyond Markov chains, towards adaptive memristor network-based music generation. Paper presented at First AISB symposium on Music and Unconventional Computing, University of Exeter, UK

We undertook a study of the use of a memristor network for music generation, making use of the memristor's memory to go beyond the Markov hypothesis. Seed transition matrices are created and populated using memristor equations, and which are shown to... Read More about Beyond Markov chains, towards adaptive memristor network-based music generation.