Publications
Bryden, John; Cohen, Netta. Neural control of C.elegans forward locomotion: The role of sensory feedback. Biological Cybernetics, vol. 98, pp. 339-351. 2008.
Everingham, M R; Needham, C J; Fraile, R (editors). Proceedings of the 19th British Machine Vision Conference (BMVC2008) BMVA. 2008.
Voliotis, Margaritis; Cohen, Netta; Molina-Paris, Carmen; Liverpool, Tanniemola. Fluctuations, pauses and backtracking in DNA transcription. Biophysical Journal, vol. 94, pp. 334-348. 2008.
Boyle, J H; Cohen, N. The role of body wall muscles in C. elegans locomotion in: Olde-Scheper, T & Crook, N (editors) Proceedings of the Seventh International Workshop on Information Processing in Cells and Tissues , pp. 363-375. 2007.
Care, M A; Needham, C J; Bulpitt, A J; Westhead, D R. Deleterious SNP prediction: be mindful of your training data!. Bioinformatics, vol. 23, pp. 664-672. 2007.
de Kamps, M; Knoll, A C. A roadmap for NeuroIT: challenges for the next decade. IEEE Engineering in Medicine and Biology, vol. 26, pp. 42-46. 2007.
Lesk, Valerie E; Womble, Stephen P; Rumiati, Raffaella I. Testing graceful degradation in a patient with Aphasia. Neurocase, vol. 18, pp. 1-8. 2007.
Needham, C J; Bradford, J R; Bulpitt, A J; Westhead, D R. A Primer on Learning in Bayesian Networks for Computational Biology. PLoS Computational Biology, vol. 3, pp. e129. 2007.
Rochel, O; Cohen, N. Real time computation: zooming in on population codes. BioSystems, vol. 87, pp. 260-266. 2007.
van de Velde, F; de Kamps, M. A neural model of global visual saliency in: Vosniadou, S, Kayser, D & Protopapas, A (editors) Proceedings of the European Cognitive Science Conference 2007, pp. 383-388 Lawrence Erlbaum Associates. 2007.
Bradford, James R; Needham, Chris J; Bulpitt, Andrew J; Westhead, David R. Insights into protein-protein interfaces using a Bayesian network prediction method. Journal of Molecular Biology, vol. 362, pp. 365-386. 2006.
Bradford, J R; Needham, C J; Bulpitt, A J; Westhead, D R. Insights into protein-protein interfaces using a Bayesian network prediction method in: Barber, S, Baxter, P D, Mardia, K V & Walls, R E (editors) Interdisciplinary Statistics and Bioinformatics, pp. 112 University of Leeds. 2006.
Bryden, John; Noble, Jason. Computational modelling, explicit mathematical treatments and scientific explanation in: Rocha, L M, Yaeger, L S, Bedau, M A, Floreano, D, Goldstone, R L & Vespignani, A (editors) Artificial Life X: Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems, pp. 520-526 MIT Press/Bradford Books. 2006.
Cohen, Netta; Handley, J W; Boyle, R D; Braunstein, Samuel L; Berry, E. Experimental signature of registration noise in pulsed Terahertz systems. Fluctuation and Noise Letters, vol. 6, pp. L77-L85. 2006.
Cohn, A G; Hogg, D C; Bennett, B; Devin, V; Galata, A; Magee, D R; Needham, C; Santos, P. Cognitive vision: integrating symbolic qualitative representations with computer vision in: Christensen, H I & Nagel, H-H (editors) Cognitive Vision Systems: Sampling the Spectrum of Approaches, pp. 221-246 Springer. 2006.
Handley, J W; Cohen, Netta; Boyle, R D; Berry, E. An empirical analysis of noise in pulsed Terahertz systems. Fluctuation and Noise Letters, vol. 6, pp. L65-L76. 2006.
Needham, Chris J; Bradford, James R; Bulpitt, Andrew J; Westhead, David R. Inference in Bayesian networks. Nature Biotechnology, vol. 24, pp. 51-53. 2006.
Needham, Chris J; Bradford, James R; Bulpitt, Andrew J; Care, Matthew A; Westhead, David R. Predicting the effect of missense mutations on protein function: analysis with Bayesian networks. BMC Bioinformatics, vol. 7. 2006.
Voliotis, M; Molina-Paris, C; Liverpool, T; Cohen, N. Noise R Us: from gene regulatory networks to WWW in: Kovacs, T & Marshal, J A R (editors) Proceedings of AISB'06: Adaptation in Artificial and Biological Systems, Volume 3, pp. 167-175 Society for the Study of Artificial Intelligence and Simulation of Behaviour. 2006.
Westhead, D R; Bulpitt, A J; Bradford, J R; Needham, C J. Protein function prediction in Arabidopsis thaliana in: Barber, S, Baxter, P D, Mardia, K V & Walls, R E (editors) Interdisciplinary Statistics and Bioinformatics, pp. 95-96 University of Leeds. 2006.
Buckley, Christopher L; Bullock, S; Cohen, Netta. Timescale and stability in adaptive behaviour in: Capcarrere, M S, Freitas, A A, Bentley, P J , Johnson, C O & Timmis, J (editors) Advances in Artificial Life: 8th European Conference on Artificial Life, ECAL2005, pp. 292-301 Springer. 2005.
Cohen, N. From ionics to energetics in the nervous system. Solid State Ionics, vol. 176, pp. 1661-1666. 2005.
Cohen, N; Dagan, T; Stone, L; Graur, D. GC composition of the human genome: in search of isochores. Molecular Biology and Evolution, vol. 22, pp. 1260-1272. 2005.
Cole, J; College, M; Magaw, T; Powis, M; Bullock, S; Keen, J. The implementation of electronic services: planned or organic growth?. Informatics in Primary Care, vol. 13, pp. 187-193. 2005.
Hogg, D; Cohn, A G; Devin, V; Magee, D; Needham, C; Santos, P. Learning about objects and activities in: Barber, s, Baxter, P D, Mardia, K V & Walls, R E (editors) Quantitative Biology, Shape Analysis and Wavelets - The 24th Leeds Annual Statistical Workshop, pp. 79-82 University of Leeds. 2005.
Ladley, D; Bullock, S. The role of logistic constraints in termite construction of chambers and tunnels. Journal of Theoretical Biology, vol. 234, pp. 551-564. 2005.
Ladley, Dan; Bullock, Seth. Who to listen to: exploiting information quality in a ZIP-agent market in: TADA05: IJCAI-05 Workshop on Trading Agent Design and Analysis, pp. 28-34. 2005.
Magee, D R; Needham, C J; Santos, P E; Rao, S. Inducing the focus of attention by observing patterns in space in: IJCAI Workshop on Modelling Others from Observations (MOO 2005), pp. 47-52. 2005.
Needham, C; Bradford, J; Bulpitt, A; Westhead, D R. Application of Bayesian networks to two classification problems in bioinformatics in: Baxter, P D, Mardia, K V & Walls, R E (editors) Quantitative Biology, Shape Analysis and Wavelets, pp. 87-90 University of Leeds. 2005.
Needham, Chris J; Santos, Paulo E; Magee, Derek R; Devin, Vincent; Hogg, David C; Cohn, Anthony G. Protocols from perceptual observations. Artificial Intelligence, vol. 167, pp. 103-136. 2005.
Williams, Hywel; Noble, Jason. Evolution and the regulation of environmental variables in: Capcarrere, M S, Freitas, A A, Bentley, P J , Johnson, C O & Timmis, J (editors) Advances in Artificial Life: 8th European Conference on Artificial Life, ECAL2005, pp. 332-341 Springer. 2005.
Bryden, John; Cohen, Netta. A simulation model of the locomotion controllers for the Nematode Caenorhabditis elegans in: Schaal, S, Ijspeert, A J, Billard, A, Vijayakumar, S, Hallam, J & Meyer, J-A (editors) From Animals to Animats 8: Proceedings of the Eighth International Conference on Simulation of Adaptive Behavior, pp. 183-192 MIT Press/Bradford Books. 2004.
Buckley, Christopher; Bullock, Seth; Cohen, Netta. Towards a dynamical systems analysis of neuromodulation in: Schaal, S, Ijspeert, A J, Billard, A, Vijayakumar, S, Hallam, J & Meyer, J-A (editors) From Animals to Animats 8: Proceedings of the Eighth International Conference on Simulation of Adaptive Behavior, pp. 334-343 MIT Press/Bradford Books. 2004.
Bullock, Seth. Making room for representation. Adaptive Behavior, vol. 11, pp. 279-280. 2004.
Cartlidge, John; Bullock, Seth. Combating coevolutionary disengagement by reducing parasite virulence. Evolutionary Computation, vol. 12, pp. 193-222. 2004.
Cartlidge, John; Bullock, Seth. Unpicking tartan CIAO plots: understanding irregular coevolutionary cycling. Adaptive Behavior, vol. 12, pp. 69-92. 2004.
Franks, Daniel W; Noble, Jason. Batesian mimics influence mimicry ring evolution. Proceedings of the Royal Society of London B: Biological Sciences, vol. 271, pp. 191-196. 2004.
Franks, Daniel W; Noble, Jason. Warning signals and predator-prey coevolution. Proceedings of the Royal Society of London B: Biological Sciences, vol. 271, pp. 1859-1865. 2004.
Kloepler, Jeremiah A; Cohen, Netta; Nadeau, Jay L. FRET between CdSe quantum dots in lipid vesicles and water- and lipid-soluble dyes. Journal of Physical Chemistry B, vol. 108, pp. 17042-17049. 2004.
Ladley, D; Bullock, S. Logistic constraints on 3D termite construction in: Dorigo, M, Birattari, M, Blum, C, Gambardella, L M, Mondada, F & Stutzle, T (editors) Ant Colony Optimization and Swarm Intelligence, 4th International Workshop, ANTS 2004, pp. 178-189 Springer. 2004.
Magee, D R; Needham, C J; Santos, P; Cohn, A G; Hogg, D C. Autonomous learning for a cognitive agent using continuous models and inductive logic programming from audio-visual input in: Proceedings AAAI-04 Workshop on Anchoring Symbols to Sensor Data, pp. 17-24. 2004.
Needham, C J; Boyle, R D. Multi-resolution template kernels in: Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, vol. II, pp. 233-236. 2004.
Noble, Jason; Franks, Daniel W. Social learning in a multi-agent system. Computing and Informatics, vol. 22, pp. 101-114. 2004.
Noble, Jason; de Pinedo, Manuel. Mechanistic and ecological explanations in agent-based models of cognition in: Pollack, J, Bedau, M, Husbands, P, Ikegami, T & Watson, R A (editors) Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems, pp. 528-533 MIT Press/Bradford Books. 2004.
Noble, Jason; Davy, Simon; Franks, Daniel W. Effects of the topology of social networks on information transmission in: Schaal, S, Ijspeert, A J, Billard, A, Vijayakumar, S, Hallam, J & Meyer, J-A (editors) From Animals to Animats 8: Proceedings of the Eighth International Conference on Simulation of Adaptive Behavior, pp. 395-404 MIT Press/Bradford Books. 2004.
Silverman, Eric; Bullock, Seth. Empiricism in artificial life in: Pollack, J, Bedau, M, Husbands, P, Ikegami, T & Watson, R A (editors) Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems, pp. 534-539 MIT Press/Bradford Books. 2004.
Cartlidge, John; Bullock, Seth. Caring versus sharing: how to maintain engagement and diversity in coevolving populations in: Banzhaf, W, Christaller, T, Dittrich, P, Kim, J T & Ziegler, J (editors) Advances in Artificial Life - Proceedings of the 7th European Conference on Artificial Life (ECAL), pp. 299-308 Springer. 2003.
Davy, S; Djemame, K; Noble, J. The application of bioinspired engineering principles to grid resource allocation in: Jarvis, S (editors) Proceedings of the 19th UK Performance Engineering Workshop (UKPEW 2003) University of Warwick. 2003.
Franks, D W; Noble, J. The origins of mimicry rings in: Standish, R, Bedeau, M A & Abbass, H A (editors) Artificial Life VIII: The Eighth International Conference on Artificial Life MIT Press. 2003.
Needham, C J; Boyle, R D. Performance evaluation metrics and statistics for positional tracker evaluation in: Crowley, J L, Paiter, J H, Vincze, M & Paletta, L (editors) Computer Vision Systems Third International Conference, ICVS 2003, pp. 278-289 Springer. 2003.
Noble, J; Franks, D W. Social learning mechanisms compared in a simple environment in: Standish, R, Bedeau, M A & Abbass, H A (editors) Artificial Life VIII: The Eighth International Conference on Artificial Life MIT Press. 2003.
Rogers, M A; Clarke, P; Noble, J; Munro, N P; Paul, A; Selby, P J; Bank, R E. Proteomic profiling of urinary proteins in renal cancer by surface enhanced laser desorption ionisation (SELDI) and neural-network analysis: Identification of key issues affecting potential clinical utility. Cancer Research, vol. 63, pp. 6971-6983. 2003.
Almogy, G; Cohen, N; Stocker, S; Stone, L. Immune response and virus population composition: HIV as a case study. Proceedings of the Royal Society of London B: Biological Sciences, vol. 269, pp. 809-815. 2002.
Ayali, A; Zilberstein, Y; Cohen, N. The locust frontal ganglion: a central pattern generator network controlling foregut rhythmic motor patterns. Journal of Experimental Biology, vol. 205, pp. 2825-2832. 2002.
Bullock, S. Will selection for mutational robustness significantly retard evolutionary innovation on neutral networks? in: Standish, R, Bedeau, M A & Abbass, H A (editors) Artificial Life VIII: The Eighth International Conference on Artificial Life, pp. 192-201 MIT Press. 2002.
Bullock, S; Cartlidge, J; Thompson, M. Prospects for computational steering of evolutionary computation in: Bilotta, E (editors) Workshop Proceedings of the Eighth International Conference on Artificial Life, pp. 131-137. 2002.
Cartlidge, J; Bullock, S. Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization in: D Fogel et al (editors) Congress on Evolutionary Computation 2002, pp. 1420-1425 IEEE Press. 2002.
Clark, B; Bullock, S. Disturbance maintains and promotes biodiversity in an artificial plant ecology in: Hallam, B, Floreano, D, Hallam, J, Hayes, G & Meyer, J-A (editors) From Animals to Animats 7 - Proceedings of the Seventh International Conference on Simulation of Adaptive Behaviour, pp. 355-356 MIT Press. 2002.
Franks, D W; Noble, J. Conditions for the evolution of mimicry in: Hallam, B, Floreano, D, Hallam, J, Hayes, G & Meyer, J-A (editors) From Animals to Animats 7 - Proceedings of the Seventh International Conference on Simulation of Adaptive Behaviour MIT Press. 2002.
Harris, D; Bullock, S. Enhancing game theory with coevolutionary simulation models of honest signalling in: D Fogel et al (editors) Congress on Evolutionary Computation 2002, pp. 1594-1599 IEEE Press. 2002.
Noble, J; Todd, P M. Imitation or something simpler? Making simple mechanismd for information processing in: Dautenbhahn, K & Nehaniv, C L (editors) Imitation in Animals and Artifacts, pp. 423-439 MIT Press. 2002.
Noble, J. Finding robust Texas Hold'em poker strategies using Pareto co-evolution and deterministic crowding in: Proceedings of the 2002 International Conference on Machine Learning and Applications (ICMLA'02) CSREA Press. 2002.
Noble, J J; Di Paolo, E A; Bullock, S. Adaptive factors in the evolution of signalling systems in: Cangelosi, A & Parisi, D (editors) Simulating the Evolution of Language, pp. 53-77 Springer. 2002.
Segev, R; Beneviste, M; Hulata, E; Cohen, N; Palevski, A; Kapon, E; Shapira, Y; Ben-Jacob, E. Long term behavior of lithographically prepared in vitro neuronal networks. Physical Review Letters, vol. 88, pp. 118102/1-4. 2002.
Smith, T; Bullock, S; Bird, J. Workshop overview in: Bilotta, E (editors) Workshop Proceedings of the Eighth International Conference on Artificial Life, pp. 99-102. 2002.
Wheeler, Michael; Bullock, Seth; Di Paolo, Ezequiel; Noble, Jason; Bedan, Mark; Husbands, Philip; Kirby, Simon; Seth, Anil. The view from elsewhere: perspectives on A Life modeling. Artificial Life, vol. 8, pp. 87-100. 2002.
Alonso, E; D'Inverno, R; Kudenko, D; Luck, M; Noble, J. Learning in multi-agent systems. Knowledge Engineering Review, vol. 16, pp. 277-284. 2001.
Bullock, S. Smooth operator? Understanding and visualising mutation bias in: Kelemen, J & Sosik, P (editors) Advances in Artificial Life: Sixth European Conference on Artificial Life (ECAL2001), pp. 602-612 Springer. 2001.
Needham, C J; Boyle, R D. Tracking multiple sports players through occlusion, congestion and scale in: Proceedings of the 12th British Machine Vision Conference (BMVC2001), vol. 1, pp. 93-102 BMVA. 2001.
Noble, J; Todd, PM; Tuci, E. Explaining social learning of food preferences without aversions: an evolutionary simulation model of Norway rats. Proceedings of the Royal Society of London B: Biological Sciences, vol. 268, pp. 141-149. 2001.
Noble, J; Watson, RA. Pareto coevolution:using performance against coevolved opponents in a game as dimensions for Pareto selection in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO2001), pp. 493-500 Morgan Kaufman. 2001.
Quinn, M; Noble, J. Modelling animal behaviour in contests: conventions for resource allocation in: Kelemen, J & Sosik, P (editors) Advances in Artificial Life: Sixth European Conference on Artificial Life (ECAL2001), pp. 367-376 Springer. 2001.
Bullock, S. What can we learn from the first evolutionary simulation model? in: McCaskill JS, Packard, NH & Rasmussen, S (editors) Artificial Life VII: The Seventh International Conference on the Simulation and Synthesis of Living Systems, pp. 477-486 MIT Press. 2000.
Bullock, S; Noble, J. Evolutionary simulation modelling clarifies interactions between parallel adaptive processes. Behavioral and Brain Sciences, vol. 21, pp. 150-151. 2000.
Di Paolo, EA; Noble, J; Bullock, S. Simulation models as opaque thought experiments in: McCaskill JS, Packard, NH & Rasmussen, S (editors) Artificial Life VII: The Seventh International Conference on the Simulation and Synthesis of Living Systems, pp. 497-506 MIT Press. 2000.
Di Paolo, E A; Bullock, S; Noble, J. Artificial life: Discipline or method? Report on a debate held at ECAL'99. Artificial Life, vol. 6, pp. 145-148. 2000.