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Emergent spiking in non-ideal memristor networks (2014)
Journal Article
Costello, B. D. L., Gale, E., de Lacy Costello, B., & Adamatzky, A. (2014). Emergent spiking in non-ideal memristor networks. Microelectronics Journal, 45(11), 1401-1415. https://doi.org/10.1016/j.mejo.2014.06.008

© 2014 Elsevier Ltd. All rights reserved. Memristors have uses as artificial synapses and perform well in this role in simulations with artificial spiking neurons. Our experiments show that memristor networks natively spike and can exhibit emergent o... Read More about Emergent spiking in non-ideal memristor networks.

Drop-coated titanium dioxide memristors (2013)
Journal Article
Gale, E., Mayne, R., Adamatzky, A., & De Lacy Costello, B. (2014). Drop-coated titanium dioxide memristors. Materials Chemistry and Physics, 143(2), 524-529. https://doi.org/10.1016/j.matchemphys.2013.09.013

The fabrication of memristors by drop-coating sol-gel Ti(OH)4 solution onto either aluminium foil or sputter-coated aluminium on plastic is presented. The gel layer is thick, 37 μm, but both devices exhibit good memristance I-V profiles. The drop coa... Read More about Drop-coated titanium dioxide memristors.

Towards slime mould chemical sensor: Mapping chemical inputs onto electrical potential dynamics of Physarum Polycephalum (2013)
Journal Article
Whiting, J. G. H., de Lacy Costello, B. P. J., & Adamatzky, A. (2014). Towards slime mould chemical sensor: Mapping chemical inputs onto electrical potential dynamics of Physarum Polycephalum. Sensors and Actuators B: Chemical, 191, 844-853. https://doi.org/10.1016/j.snb.2013.10.064

Plasmodium of slime mould Physarum polycephalum is a large single celled organism visible unaided by the eye. This slime mould is capable of optimising the shape of its protoplasmic networks in spatial configurations of attractants and repellents. Su... Read More about Towards slime mould chemical sensor: Mapping chemical inputs onto electrical potential dynamics of Physarum Polycephalum.

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?.

Toward turing’s A-type unorganised machines in an unconventional substrate: A dynamic representation in compartmentalised excitable chemical media (2013)
Book Chapter
Bull, L., Holley, J., De Lacy Costello, B., & Adamatzky, A. (2013). Toward turing’s A-type unorganised machines in an unconventional substrate: A dynamic representation in compartmentalised excitable chemical media. . Springer. https://doi.org/10.1007/978-3-642-37225-4_11

© Springer-Verlag Berlin Heidelberg 2013. Turing presented a general representation scheme by which to achieve artificial intelligence – unorganised machines. Significantly, these were a form of discrete dynamical system and yet such representations... Read More about Toward turing’s A-type unorganised machines in an unconventional substrate: A dynamic representation in compartmentalised excitable chemical media.

Evolution of plastic learning in spiking networks via memristive connections (2012)
Journal Article
Howard, G., Howard, D., Gale, E., Bull, L., De Lacy Costello, B., & Adamatzky, A. (2012). Evolution of plastic learning in spiking networks via memristive connections. IEEE Transactions on Evolutionary Computation, 16(5), 711-729. https://doi.org/10.1109/TEVC.2011.2170199

This paper presents a spiking neuroevolutionary system which implements memristors as plastic connections, i.e., whose weights can vary during a trial. The evolutionary design process exploits parameter self-adaptation and variable topologies, allowi... Read More about Evolution of plastic learning in spiking networks via memristive connections.

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

On architectures of circuits implemented in simulated Belousov-Zhabotinsky droplets (2012)
Journal Article
Adamatzky, A., Holley, J., Dittrich, P., Gorecki, J., De Lacy Costello, B., Zauner, K. P., & Bull, L. (2012). On architectures of circuits implemented in simulated Belousov-Zhabotinsky droplets. BioSystems, 109(1), 72-77. https://doi.org/10.1016/j.biosystems.2011.12.007

When lipid vesicles filled with Belousov-Zhabotinsky (BZ) excitable chemical medium are packed in tight assembles, waves of excitation may travel between the vesicles. When several waves meet in a vesicle some fragments may deflect, others can annihi... Read More about On architectures of circuits implemented in simulated Belousov-Zhabotinsky droplets.

Time-dependent wave selection for information processing in excitable media (2012)
Journal Article
Costello, B. D. L., Stevens, W. M., Adamatzky, A., Jahan, I., & de Lacy Costello, B. (2012). Time-dependent wave selection for information processing in excitable media. Physical Review E, 85(6), https://doi.org/10.1103/PhysRevE.85.066129

We demonstrate an improved technique for implementing logic circuits in light-sensitive chemical excitable media. The technique makes use of the constant-speed propagation of waves along defined channels in an excitable medium based on the Belousov-Z... Read More about Time-dependent wave selection for information processing in excitable media.