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Plos Computational Biology|January 19, 2023
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signalsTimo Flesch, David G Nagy, Andrew Saxe, et al.Trends in Neurosciences|January 22, 2023
Continual task learning in natural and artificial agentsTimo Flesch, Andrew Saxe, Christopher SummerfieldNeuron|January 27, 2022
Orthogonal representations for robust context-dependent task performance in brains and neural networksTimo Flesch, Keno Juechems, Tsvetomira Dumbalska, et al.Nature Reviews. Neuroscience|November 17, 2020
If deep learning is the answer, what is the question?Andrew Saxe, Stephanie Nelli, Christopher SummerfieldProceedings of the National Academy of Sciences of the United States of America|October 17, 2018
Comparing continual task learning in minds and machinesTimo Flesch, Jan Balaguer, Ronald Dekker, et al.Neuron|March 10, 2023
Neural knowledge assembly in humans and neural networksStephanie Nelli, Lukas Braun, Tsvetomira Dumbalska, et al.Trends in Cognitive Sciences|May 4, 2007
An information theoretical approach to prefrontal executive functionEtienne Koechlin, Christopher SummerfieldTrends in Cognitive Sciences|September 1, 2009
Expectation (and attention) in visual cognitionChristopher Summerfield, Tobias EgnerNeuron|August 1, 2008
A neural representation of prior information during perceptual inferenceChristopher Summerfield, Etienne KoechlinPageof 13