Thomas Miconi
Thomas Miconi
Research Scientist, Uber AI Labs
Verified email at - Homepage
Cited by
Cited by
Differentiable plasticity: training plastic neural networks with backpropagation
T Miconi, K Stanley, J Clune
International Conference on Machine Learning, 3559-3568, 2018
Learning to continually learn
S Beaulieu, L Frati, T Miconi, J Lehman, KO Stanley, J Clune, N Cheney
arXiv preprint arXiv:2002.09571, 2020
Biologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks
T Miconi
Elife 6, e20899, 2017
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, 131-161, 2016
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
T Miconi, A Rawal, J Clune, KO Stanley
arXiv preprint arXiv:2002.10585, 2020
Evolution and complexity: The double-edged sword
T Miconi
Artificial life 14 (3), 325-344, 2008
Why coevolution doesn’t “work”: superiority and progress in coevolution
T Miconi
Genetic Programming: 12th European Conference, EuroGP 2009 Tübingen, Germany …, 2009
An improved system for artificial creatures evolution
T Miconi, A Channon
Proceedings of Artificial Life X, 255-261, 2006
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
Evosphere: evolutionary dynamics in a population of fighting virtual creatures
T Miconi
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008
In silicon no one can hear you scream: Evolving fighting creatures
T Miconi
Genetic Programming: 11th European Conference, EuroGP 2008, Naples, Italy …, 2008
A virtual creatures model for studies in artificial evolution
T Miconi, A Channon
2005 IEEE Congress on Evolutionary Computation 1, 565-572, 2005
When evolving populations is better than coevolving individuals: The blind mice problem
T Miconi
IJCAI, 647-652, 2003
Spontaneous emergence of fast attractor dynamics in a model of developing primary visual cortex
T Miconi, JL McKinstry, GM Edelman
Nature communications 7 (1), 13208, 2016
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
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
The impossibility of" fairness": a generalized impossibility result for decisions
T Miconi
arXiv preprint arXiv:1707.01195, 2017
The road to everywhere: Evolution, complexity and progress in natural and artificial systems
T Miconi
University of Birmingham, 2008
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
Analysing co-evolution among artificial 3D creatures
T Miconi, A Channon
Artificial Evolution: 7th International Conference, Evolution Artificielle …, 2006
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