UAV horizon tracking using memristors and cellular automata visual processing (2013)
Presentation / Conference
Georgilas, I., Gale, E., Adamatzky, A., & Melhuish, C. (2013, August). UAV horizon tracking using memristors and cellular automata visual processing. Paper presented at TAROS 2013, The 14th Conference Towards Autonomous Robotic Systems, St Anne's College, Oxford, UK

Unmanned Aerial Vehicles (UAV)s can control their altitude and orientation using the horizon as a reference. Typically this task is performed via edge-detection vision processing techniques implemented in a computer or digital electronics. We demonst... Read More about UAV horizon tracking using memristors and cellular automata visual processing.

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:, Karlsruhe

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?.

Design of a hybrid robot control system using memristor-model and ant-inspired based information transfer protocols (2013)
Presentation / Conference
Gale, E., de Lacy Costello, B., & Adamatzky, A. (2013, May). Design of a hybrid robot control system using memristor-model and ant-inspired based information transfer protocols. Paper presented at Workshop on Unconventional Approaches to Robotics, Automation and Control Inspired by Nature, Karlsruhe

It is not always possible for a robot to process all the information from its sensors in a timely manner and thus quick and yet valid approximations of the robot's situation are needed. Here we design hybrid control for a robot within this limit usin... Read More about Design of a hybrid robot control system using memristor-model and ant-inspired based information transfer protocols.

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.

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, Kos, Greece

Different behaviour seen in flexible titanium dioxide sol-gel memristors dependent on the choice of electrode materials (2012)
Presentation / Conference
Gale, E., Pearson, D., Kitson, S., Adamatzky, A., & de Lacy Costello, B. (2012, June). Different behaviour seen in flexible titanium dioxide sol-gel memristors dependent on the choice of electrode materials. Poster presented at Fronteirs in Electronic Materials: Correlation Effects and Memristive Phenomena, Aachen, Germany

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, Nottingham, UK

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

Comparison of ant-inspired gatherer allocation approaches using memristor-based environmental models (2011)
Presentation / Conference
Gale, E., de Lacy Costello, B., & Adamatzky, A. (2011, December). Comparison of ant-inspired gatherer allocation approaches using memristor-based environmental models. Paper presented at Bioadcom 2011 Workshop on Bio-inspired Approaches to Advanced Computing and Communications (BioAdcom2011), York, England

Memristors are used to compare three gathering techniques in an already-mapped environment where resource locations are known. The All Site model, which apportions gatherers based on the modeled memristance of that path, proves to be good at increasi... Read More about Comparison of ant-inspired gatherer allocation approaches using memristor-based environmental models.

Neuromorphic computing with memristors: Preliminary experimental results (2011)
Presentation / Conference
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, Edinburgh

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 e... Read More about Neuromorphic computing with memristors: Preliminary experimental results.

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, Paris, France

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.

Co-evolving cellular automatat with memory for chemical computing: Boolean logic gates in the BZ reaction (2008)
Presentation / Conference
Stone, C., Toth, R., de Lacy Costello, B., Adamatzky, A., & Bull, L. (2008, September). Co-evolving cellular automatat with memory for chemical computing: Boolean logic gates in the BZ reaction. Paper presented at 10th International Conference Parallel problem solving from Nature- PPSN X, Dortmund, Germany

Computation by competing patterns: life rule B2/S2345678 (2008)
Presentation / Conference
Martinez, G. J., Adamatzky, A., McIntosh, H. V., & de Lacy Costello, B. (2008, June). Computation by competing patterns: life rule B2/S2345678. Paper presented at Automata 2008, Bristol, UK

Towards designing collision based chemical logic gates with adaptive computing (2008)
Presentation / Conference
Toth, R., Stone, C., de Lacy Costello, B., Adamatzky, A., & Bull, L. (2008, June). Towards designing collision based chemical logic gates with adaptive computing. Paper presented at IPCC 2008, Concordia University, Montreal, Canada

Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction (2007)
Presentation / Conference
Stone, C., Toth, R., Adamatzky, A., de Lacy Costello, B., & Bull, L. (2007, July). Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction. Paper presented at 9th annual conference on Genetic and evolutionary computation, London, England

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, Edinburgh, UK

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.