| Unsupervised learning of overlapping image components using divisive input modulation MW Spratling, K De Meyer, R Kompass Computational intelligence and neuroscience 2009, 2009 | 70 | 2009 |
| Stochastic diffusion optimisation: the application of partial function evaluation and stochastic recruitment in swarm intelligence optimisation MJM Bishop, K De Meyer, SJ Nasuto 978-0312097264, 2006 | 69* | 2006 |
| Time for change? climate science reconsidered: report of the UCL policy commission on communicating climate science, 2014 CG Rapley, K De Meyer, J Carney, R Clarke, C Howarth, N Smith, ... UCL Policy Commission on Communicating Climate Science, University College …, 2014 | 68* | 2014 |
| Transforming the stories we tell about climate change: from ‘issue’to ‘action’ K De Meyer, E Coren, M McCaffrey, C Slean Environmental Research Letters 16 (1), 015002, 2020 | 44 | 2020 |
| Foundations of stochastic diffusion search K De Meyer University of Reading, 2004 | 37 | 2004 |
| Climate science reconsidered C Rapley, K De Meyer Nature Climate Change 4 (9), 745-746, 2014 | 36 | 2014 |
| Stochastic diffusion: Using recruitment for search K De Meyer, JM Bishop, SJ Nasuto Evolvability and interaction: evolutionary substrates of communication …, 2003 | 30 | 2003 |
| Climate change risk assessment 2021 D Quiggin, K De Meyer, L Hubble-Rose, A Froggatt Chatham House, 2021 | 24 | 2021 |
| Explorations in stochastic diffusion search: Soft-and hardware implementations of biologically inspired spiking neuron stochastic diffusion networks K De Meyer Tech. Rep. KDM/JMB/2000/1, University of Reading, 2000 | 23 | 2000 |
| Multiplicative gain modulation arises through unsupervised learning in a predictive coding model of cortical function K De Meyer, MW Spratling Neural computation 23 (6), 1536-1567, 2011 | 22 | 2011 |
| A new perspective on decarbonising the global energy system M Ives, L Righetti, J Schiele, K De Meyer, L Hubble-Rose, F Teng, ... Oxford University Smith School of Enterprise and the Environment, 2021 | 21 | 2021 |
| Small-world effects in lattice stochastic diffusion search K De Meyer, JM Bishop, SJ Nasuto Artificial Neural Networks—ICANN 2002: International Conference Madrid …, 2002 | 20 | 2002 |
| Communicating neurons: A connectionist spiking neuron implementation of stochastic diffusion search SJ Nasuto, JM Bishop, K De Meyer Neurocomputing 72 (4-6), 704-712, 2009 | 19 | 2009 |
| A model of non-linear interactions between cortical top-down and horizontal connections explains the attentional gating of collinear facilitation K De Meyer, MW Spratling Vision research 49 (5), 553-568, 2009 | 18 | 2009 |
| Attention through self-synchronisation in the spiking neuron stochastic diffusion network K De Meyer, JM Bishop, SJ Nasuto Consc. and Cogn 9 (2), 81-81, 2000 | 17 | 2000 |
| A model of partial reference frame transforms through pooling of gain-modulated responses K De Meyer, MW Spratling Cerebral Cortex 23 (5), 1230-1239, 2013 | 12 | 2013 |
| Dynamic knowledge representation in connectionist systems JM Bishop, SJ Nasuto, K De Meyer Artificial Neural Networks—ICANN 2002: International Conference Madrid …, 2002 | 9 | 2002 |
| Understanding engagement, marketing, and motivation to benefit recruitment and retention in citizen science AG Hart, D Adcock, M Barr, S Church, T Clegg, S Copland, K De Meyer, ... Ubiquity Press, Ltd., 2022 | 8 | 2022 |
| Multiple resolution mapping for efficient mobile robot navigation K de Meyer, O Lemon, U Nehmzow Proceedings “Towards Intelligent Mobile Robots 97, 1997 | 8 | 1997 |
| The effect of ketamine and D-cycloserine on the high frequency resting EEG spectrum in humans JF Nottage, A Gabay, K De Meyer, KF Herrik, JF Bastlund, ... Psychopharmacology 240 (1), 59-75, 2023 | 7 | 2023 |
J. Mark BishopProf Cognitive Computing (Emeritus), Goldsmiths, University of London; Scientific Adviser Fact360Dirección de correo verificada de gold.ac.uk
