| The free energy principle for action and perception: A mathematical review CL Buckley, CS Kim, S McGregor, AK Seth Journal of Mathematical Psychology 81, 55-79, 2017 | 142 | 2017 |
| Lattice Boltzmann BGK simulation of nonlinear sound waves: the development of a shock front JM Buick, CL Buckley, CA Greated, J Gilbert Journal of Physics A: Mathematical and General 33 (21), 3917, 2000 | 70 | 2000 |
| Neural complexity and structural connectivity L Barnett, CL Buckley, S Bullock Physical Review E 79 (5), 051914, 2009 | 67 | 2009 |
| Evolutionary connectionism: algorithmic principles underlying the evolution of biological organisation in evo-devo, evo-eco and evolutionary transitions RA Watson, R Mills, CL Buckley, K Kouvaris, A Jackson, ST Powers, ... Evolutionary biology 43 (4), 553-581, 2016 | 45 | 2016 |
| Optimization in “self‐modeling” complex adaptive systems RA Watson, CL Buckley, R Mills Complexity 16 (5), 17-26, 2011 | 44 | 2011 |
| Global adaptation in networks of selfish components: Emergent associative memory at the system scale RA Watson, R Mills, CL Buckley Artificial Life 17 (3), 147-166, 2011 | 42 | 2011 |
| An active inference implementation of phototaxis M Baltieri, CL Buckley Artificial Life Conference Proceedings 14, 36-43, 2017 | 36 | 2017 |
| Learning action-oriented models through active inference A Tschantz, AK Seth, CL Buckley PLoS computational biology 16 (4), e1007805, 2020 | 28 | 2020 |
| Multiscale model of an inhibitory network shows optimal properties near bifurcation CL Buckley, T Nowotny Physical review letters 106 (23), 238109, 2011 | 26 | 2011 |
| Associative memory in gene regulation networks R Watson, CL Buckley, R Mills, A Davies MIT Press, 2010 | 26 | 2010 |
| “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 AP Davies, RA Watson, R Mills, CL Buckley, J Noble Artificial Life 17 (3), 167-181, 2011 | 23 | 2011 |
| Competition-based model of pheromone component ratio detection in the moth A Zavada, CL Buckley, D Martinez, JP Rospars, T Nowotny PloS one 6 (2), e16308, 2011 | 22 | 2011 |
| Spatial, temporal, and modulatory factors affecting GasNet evolvability in a visually guided robotics task P Husbands, A Philippides, P Vargas, CL Buckley, P Fine, E Di Paolo, ... Complexity 16 (2), 35-44, 2010 | 20 | 2010 |
| Scaling active inference A Tschantz, M Baltieri, AK Seth, CL Buckley 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 17 | 2020 |
| Reinforcement learning through active inference A Tschantz, B Millidge, AK Seth, CL Buckley arXiv preprint arXiv:2002.12636, 2020 | 17 | 2020 |
| PID control as a process of active inference with linear generative models M Baltieri, CL Buckley Entropy 21 (3), 257, 2019 | 17 | 2019 |
| Transformations in the scale of behavior and the global optimization of constraints in adaptive networks RA Watson, R Mills, CL Buckley Adaptive Behavior 19 (4), 227-249, 2011 | 17 | 2011 |
| The effect of Hebbian learning on optimisation in Hopfield networks RA Watson, CL Buckley, R Mills | 17 | 2009 |
| Monostable controllers for adaptive behaviour CL Buckley, P Fine, S Bullock, E Di Paolo International Conference on Simulation of Adaptive Behavior, 103-112, 2008 | 17 | 2008 |
| A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback CL Buckley, T Toyoizumi PLoS computational biology 14 (1), e1005926, 2018 | 16 | 2018 |
