Publications

Journal Publications

A. S. David Fernandes, C. L. Buckley, and J. E. Niven. Visual associative learning in wood ants. Accepted for the Journal of Experimental Biology (2017).
C. L. Buckley and T. Toyoizumi. A theory of how active behaviour stabilises neural activity: neural gain modulation by closed-loop environmental feedback. Accepted for PLOS Comp. Biology (2017)
C. L. Buckley, C. S. Kim, S. Mcgregor and A. K. Seth. The free energy principle for action and perception: A mathematical review. Journal of Mathematical Psychology, Volume 81, 2017, Pages 55-79, I
McGregor, Simon, Manuel Baltieri, and C. L. Buckley. “A Minimal Active Inference Agent.” arXiv preprint arXiv:1503.04187 (2015).
R. A. Watson, R. Mills, C. L. Buckley, K Kouvaris, A Jackson, S. Powers, C. Cox, S. Tudge, A. Davies, L Kounios, D. Power. Evolutionary connectionism: algorithmic principles underlying the evolution of biological organisation in evo- devo, evo-eco and evolutionary transitions. Evolutionary Biology, (2015).
C. L. Buckley and T. Toyoizumi. The role of environmental feedback in a brain state switch from passive to active sensing.” BMC Neuroscience 14.Suppl 1 (2013): P395.

C. A. Harris, C. L. Buckley, T. Nowotny, P. A. Passaro, A. K. Seth, G. Kemenes and M. O’Shea. Multi-Neuronal Refractory Period Adapts Centrally Generated Behaviour to Reward. PLoS ONE, 7(7):e42493, (2013).

C. L. Buckley and T. Nowotny. Transient Dynamics between Displaced Fixed Points: An Alternate Nonlinear Dynamical Framework for Olfaction. Brain Research, 1434:62-72, (2012).
C. L. Buckley and T. Nowotny. Multi-scale Model of an Inhibitory Network Shows Optimal Properties near Bifurcation, Physical Review Letters, 106, 238109, (2011).

L. Barnett, C. L. Buckley and S. Bullock. A Graph Theoretic Interpretation of Neural Complexity.Physical Review E 83(4), 041906 (2011).

A. Zavada, C. L. Buckley, Dominique Martinez, Jean-Pierre Rospars and T. Nowotny. Competition based model of pheromone component ratio detection in the moth. PLoS ONE, 6(2), e16308 (2011)

Adam P. Davis, Richard A. Watson, Rob Mills, C. L. Buckley and Jason Noble. If You Can’t Be With the One You Love, Love the One You’re With: How Individual Habituation of Agent Interactions Improves Global Utility. Journal of Artiﬁcial Life, doi:10.1162/artl_a_00030 (2011).

R. A. Watson, C. L. Buckley and R. Mill. Optimisation in Self-modelling Complex Adaptive Systems. Complexity, in press (2011).

C. L. Buckley, S. Bullock and Lionel Barnett. Spatially embedded dynamics and complexity. Complexity, 16(2),pp 29–34, 2010

L. Barnett, C. L. Buckley and S. Bullock. Neural complexity and structural connectivity. Physical Review E, 79. 2009

S. Bullock, and C. L. Buckley. Embracing the tyranny of distance: Space as an enabling constraint. Technoetic Arts, 7 (2), pp. 141-152, 2009.

C. L. Buckley and S. Bullock. Sensitivity and stability: A signal propagation sweet spot in a sheet of recurrent centre crossing neurons. Biosystems, 94 (1-2), pp. 2-9. 2008
J. M. Buick, C. L. Buckley, C. A. Greated and J Gilbert . Lattice Boltzmann BGK Simulation of Non-linear Sound Waves: the Development of a Shock Front. Journal of Physics A: Mathematical and General, 33:39, pp. 17-28, 2000.

Manuel Baltieri and C. L. Buckley. An active inference implementation of phototaxis. Proceedings of the European Conference on Artificial Life. MIT Press , Lyon, France, 14 pp. 36-43. (2017)
R. A. Watson, R. Mills, C.L. Buckley, Evo-Connectionism I: The Associative Learning Principles of Evolutionary Systems. To appear in European Conference on Articial Life,(2013).
R. A. Watson, Adam Jackson, Rob Mills, C.L. Buckley, S. T. Powers, C. Cox, S. Tudge, P. Ryan. Evo-Connectionism II: Associative Learning and Evolutionary Transitions in Individuality. European Conference on Articial Life, (2013).
R. A. Watson, R. M. Mills, S. T. Powers, A. Davies, C. L. Buckley, C. Cox, A. Jackson. In: Workshops on Advances in Articial Life: Proceedings of the Thirteenth European Conference on Articial Life, (2012).
C. L. Buckley and T. Nowotny. Transient dynamics between displaced xed points: an alternate nonlinear dynamical framework for olfaction. In: BMC Neuroscience,12, page P237, (2011).
C. L. Buckley, P. Fine, S. Bullock and E. Di Paolo. Monostable controllers for adaptive behavior. In: From Animals to Animats 10: Proceedings of the Tenth International Conference on Simulation of Adaptive Behavior, pp. 103-112, Springer 2008.

C. L. Buckley and S. Bullock. Spatial Embedding and Complexity: The Small-World is Not Enough. In: Advances in Artificial Life: Proceedings of the Ninth European Conference on Artificial Life, pp. 986-995, Springer, Berlin, 2007.

C. L. Buckley, S. Bullock, and N. Cohen. Timescale and stability in adaptive behaviour. In M. Capcarrere, A. A. Freitas, P. J. Bentley, C. G. Johnson, and J. Timmis, editors, Proceedings of the Eighth European Conference on Artificial Life, pages 292–301. SpringerVerlag, Berlin, Heidelberg, 2005.

C. L. Buckley, S. Bullock, and N. Cohen. Toward a dynamical systems analysis of neuromodulation. In S. Schaal, A. J. Ijspeert, A. Billardand S. Vijayakumar, J. Hallam, and J.A. Meyer, editors, Eighth International Conference on Simulation of Adaptive Behavior, pages 334–343. MIT Press, Cambridge, MA, 2004. [Won the “Best student paper at conference” award]