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Does the D.C. response of memristors allow robotic short-term memory and a possible route to artificial time perception? (2013)
Presentation / Conference
Gale, E., de Lacy Costello, B., & Adamatzky, A. (2013, May). Does the D.C. response of memristors allow robotic short-term memory and a possible route to artificial time perception?. Paper presented at Workshop Unconventional Approaches to Robotics, Automation and Control Inspired by Nature (UARACIN) in:

Time perception is essential for task switching, and in the mammalian brain appears alongside other processes. Memristors are electronic components used as synapses and as models for neurons. The d.c. response of memristors can be considered as a typ... Read More about Does the D.C. response of memristors allow robotic short-term memory and a possible route to artificial time perception?.

Creating unorganised machines from memristors (2012)
Presentation / Conference
Howard, G. D., Bull, L., Costello, B. D. L., & Adamatzky, A. (2012, September). Creating unorganised machines from memristors. Paper presented at ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics

Fabrication and modelling of titanium dioxide memristors (2012)
Presentation / Conference
Gale, E., Adamatzky, A., & de Lacy Costello, B. (2012, June). Fabrication and modelling of titanium dioxide memristors. Poster presented at Royal Society of Chemistry, Younger Members Symposium 2012

Concept – including filamentary conduction in the mem-mon theory of memristance improves the model for ‘triangular’ memristors

Evolving spiking networks with variable memristors (2011)
Presentation / Conference
Howard, G. D., Gale, E., Bull, L., de Lacy Costello, B., & Adamatzky, A. (2011, June). Evolving spiking networks with variable memristors. Paper presented at 13th annual conference on Genetic and evolutionary computation

Towards evolving spiking networks with memristive synapses (2011)
Presentation / Conference
Howard, G. D., Gale, E., Bull, L., de Lacy Costello, B., & Adamatzky, A. (2011, April). Towards evolving spiking networks with memristive synapses. Paper presented at IEEE Symposium on Artificial Life (ALIFE), 2011

This paper presents a spiking neuro-evolutionary system which implements memristors as neuromodulatory connections, ie whose weights can vary during a trial. The evolutionary design process exploits parameter self-adaptation and a constructionist app... Read More about Towards evolving spiking networks with memristive synapses.

Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata (2005)
Presentation / Conference
Bull, L., Lawson, I., Adamatzky, A., & de Lacy Costello, B. (2005, September). Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata. Paper presented at IEEE Congress on Evolutionary Computation, 2005

This paper presents a novel approach to the programming of automata-based simulation and computation using a machine learning technique. The identification of lattice-based automata for real-world applications is cast as a data mining problem. Our ap... Read More about Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata.


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