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Variability in training unlocks generalization in visual perceptual learning through invariant representations
View ORCID ProfileGiorgio L. Manenti, View ORCID ProfileAslan Satary Dizaji, View ORCID ProfileCaspar M. Schwiedrzik
doi: https://doi.org/10.1101/2022.08.26.505408
Giorgio L. Manenti
1Neural Circuits and Cognition Lab, European Neuroscience Institute Göttingen – A Joint Initiative of the University Medical Center Göttingen and the Max Planck Society, Grisebachstraße 5, 37077 Göttingen, Germany
2Perception and Plasticity Group, German Primate Center – Leibniz Institute for Primate Research, Kellnerweg 4, 37077 Göttingen, Germany
3Systems Neuroscience Program; Graduate School for Neurosciences, Biophysics and Molecular Biosciences (GGNB), Göttingen, Germany
Aslan Satary Dizaji
1Neural Circuits and Cognition Lab, European Neuroscience Institute Göttingen – A Joint Initiative of the University Medical Center Göttingen and the Max Planck Society, Grisebachstraße 5, 37077 Göttingen, Germany
Caspar M. Schwiedrzik
1Neural Circuits and Cognition Lab, European Neuroscience Institute Göttingen – A Joint Initiative of the University Medical Center Göttingen and the Max Planck Society, Grisebachstraße 5, 37077 Göttingen, Germany
2Perception and Plasticity Group, German Primate Center – Leibniz Institute for Primate Research, Kellnerweg 4, 37077 Göttingen, Germany
Posted November 22, 2022.
Variability in training unlocks generalization in visual perceptual learning through invariant representations
Giorgio L. Manenti, Aslan Satary Dizaji, Caspar M. Schwiedrzik
bioRxiv 2022.08.26.505408; doi: https://doi.org/10.1101/2022.08.26.505408
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