Kris De Meyer
Kris De Meyer
Verified email at kcl.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
67*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
47*2014
Unsupervised learning of overlapping image components using divisive input modulation
MW Spratling, K De Meyer, R Kompass
Computational intelligence and neuroscience 2009, 2009
442009
Foundations of stochastic diffusion search
K De Meyer
University of Reading, 2004
302004
Stochastic diffusion: Using recruitment for search
K De Meyer, JM Bishop, SJ Nasuto
Evolvability and interaction: evolutionary substrates of communication …, 2003
292003
Culture and climate change: Narratives
J Smith, R Tyszczuk, R Butler
Shed, 2014
262014
Climate science reconsidered
C Rapley, K De Meyer
Nature Climate Change 4 (9), 745-746, 2014
212014
Small-world effects in lattice stochastic diffusion search
K De Meyer, JM Bishop, SJ Nasuto
International Conference on Artificial Neural Networks, 147-152, 2002
202002
Explorations in stochastic diffusion search: Soft-and hardware implementations of biologically inspired spiking neuron stochastic diffusion networks
K De Meyer
Technical Report KDM/JMB/2000, 2000
202000
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
192011
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
182009
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
162009
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
142000
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
122013
Dynamic knowledge representation in connectionist systems
JM Bishop, SJ Nasuto, K De Meyer
International Conference on Artificial Neural Networks, 308-313, 2002
82002
Multiple resolution mapping for efficient mobile robot navigation
K De Meyer, O Lemon, U Nehmzow
University of Manchester, 1997
71997
Implementation of the spiking neuron stochastic diffusion network on parallel hardware
T Morey, K De Meyer, SJ Nasuto, JM Bishop
62000
Developing Better Climate Mitigation Policies: Challenging current climate change risk assessment approaches
K De Meyer, C Howarth, A Jackson, D Osborn, L Hubble-Rose, C Rapley, ...
UCL Policy Commission on Communicating Climate Science, 2018
2*2018
Recruiting robots perform stochastic diffusion search
MJM Bishop, K De Meyer, SJ Nasuto
International Robotics & Automation Journal 4 (2), 143-144, 2018
12018
The Mind of the Educator
K De Meyer
The Palgrave International Handbook of Alternative Education, 17-30, 2016
12016
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Articles 1–20