| Differentiable plasticity: training plastic neural networks with backpropagation T Miconi, K Stanley, J Clune International Conference on Machine Learning, 3559-3568, 2018 | 71 | 2018 |
| Defining and simulating open-ended novelty: requirements, guidelines, and challenges W Banzhaf, B Baumgaertner, G Beslon, R Doursat, JA Foster, B McMullin, ... Theory in Biosciences 135 (3), 131-161, 2016 | 67 | 2016 |
| Biologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks T Miconi Elife 6, e20899, 2017 | 60 | 2017 |
| Evolution and complexity: The double-edged sword T Miconi Artificial life 14 (3), 325-344, 2008 | 53 | 2008 |
| An improved system for artificial creatures evolution T Miconi, A Channon Proceedings of Artificial Life X, 255-261, 2006 | 35 | 2006 |
| Why coevolution doesn’t “work”: superiority and progress in coevolution T Miconi European Conference on Genetic Programming, 49-60, 2009 | 34 | 2009 |
| Learning to continually learn S Beaulieu, L Frati, T Miconi, J Lehman, KO Stanley, J Clune, N Cheney arXiv preprint arXiv:2002.09571, 2020 | 32 | 2020 |
| Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity T Miconi, A Rawal, J Clune, KO Stanley arXiv preprint arXiv:2002.10585, 2020 | 27 | 2020 |
| Evosphere: evolutionary dynamics in a population of fighting virtual creatures T Miconi 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 27 | 2008 |
| In silicon no one can hear you scream: Evolving fighting creatures T Miconi European Conference on Genetic Programming, 25-36, 2008 | 26 | 2008 |
| A virtual creatures model for studies in artificial evolution T Miconi, A Channon 2005 IEEE Congress on Evolutionary Computation 1, 565-572, 2005 | 25 | 2005 |
| A feedback model of attention explains the diverse effects of attention on neural firing rates and receptive field structure T Miconi, R VanRullen PLoS computational biology 12 (2), e1004770, 2016 | 23 | 2016 |
| When evolving populations is better than coevolving individuals: The blind mice problem T Miconi IJCAI, 647-652, 2003 | 22 | 2003 |
| The gamma slideshow: object-based perceptual cycles in a model of the visual cortex T Miconi, R VanRullen Frontiers in human neuroscience 4, 205, 2010 | 20 | 2010 |
| The n-strikes-out algorithm: A steady-state algorithm for coevolution T Miconi, A Channon 2006 IEEE International Conference on Evolutionary Computation, 1639-1646, 2006 | 17 | 2006 |
| The road to everywhere: Evolution, complexity and progress in natural and artificial systems T Miconi University of Birmingham, 2008 | 16 | 2008 |
| Analysing co-evolution among artificial 3D creatures T Miconi, A Channon International Conference on Artificial Evolution (Evolution Artificielle …, 2005 | 15 | 2005 |
| Spontaneous emergence of fast attractor dynamics in a model of developing primary visual cortex T Miconi, JL McKinstry, GM Edelman Nature communications 7 (1), 1-10, 2016 | 14 | 2016 |
| A collective genetic algorithm T Miconi Proceedings of the 3rd Annual Conference on Genetic and Evolutionary …, 2001 | 14 | 2001 |
| There's Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task T Miconi, L Groomes, G Kreiman Cerebral Cortex, 2015 | 13 | 2015 |
Alastair ChannonReader, Keele UniversityAdresse e-mail validée de keele.ac.uk
