Variability in training unlocks generalization in visual perceptual learning through invariant representations

Giorgio L. Manenti; Aslan Satary Dizaji; Caspar M. Schwiedrzik

doi:10.1101/2022.08.26.505408

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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

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Aslan Satary Dizaji

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Caspar M. Schwiedrzik

2Perception and Plasticity Group, German Primate Center – Leibniz Institute for Primate Research, Kellnerweg 4, 37077 Göttingen, Germany

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For correspondence: c.schwiedrzik@eni-g.de

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Posted November 22, 2022.

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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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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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