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Neural Computation|February 3, 2012
Learning invariance from natural images inspired by observations in the primary visual cortexMichael Teichmann, Jan Wiltschut, Fred HamkerNetwork (Bristol, England)|October 11, 2007
Hebbian learning in a model with dynamic rate-coded neurons: an alternative to the generative model approach for learning receptive fields from natural scenesFred H Hamker, Jan WiltschutVisual Neuroscience|February 11, 2009
Efficient coding correlates with spatial frequency tuning in a model of V1 receptive field organizationJan Wiltschut, Fred H HamkerThe European Journal of Neuroscience|May 6, 2025
Pallidal Deep Brain Stimulation Enhances Habitual Behavior in a Neuro-Computational Basal Ganglia Model During a Reward Reversal Learning TaskOliver Maith, Dave Apenburg, Fred HamkerAdvances in Cognitive Psychology|January 19, 2012
Neuro-cognitive mechanisms of conscious and unconscious visual perception: From a plethora of phenomena to general principlesMarkus Kiefer, Ulrich Ansorge, John-Dylan Haynes, et al.Neural Networks : the Official Journal of the International Neural Network Society|September 10, 2021
Performance of biologically grounded models of the early visual system on standard object recognition tasksMichael Teichmann, René Larisch, Fred H HamkerFrontiers in Computational Neuroscience|April 11, 2015
Competition improves robustness against loss of informationArash Kermani Kolankeh, Michael Teichmann, Fred H HamkerPlos Computational Biology|November 29, 2021
Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivityRené Larisch, Lorenz Gönner, Michael Teichmann, et al.Brain : a Journal of Neurology|August 8, 2018
Functional segregation of basal ganglia pathways in Parkinson's diseaseWolf-Julian Neumann, Henning Schroll, Ana Luisa de Almeida Marcelino, et al.Pageof 1