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search results for `neuroscience of learning` |u:archive.cmih.maths.cam.ac.uk
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https://archive.cmih.maths.cam.ac.uk/wp-json/wp/v2/posts/1958
https://archive.cmih.maths.cam.ac.uk/wp-json/wp/v2/posts/1958Two positions, one PhD studentship and one Postdoctoral fellowship, are available within theu00a0Adaptive Brain Lab, University of Cambridge, UK (http://www.abg.psychol.cam.ac.uk) to work onu00a0Machine learning in ... n. Projects will focus on machine -
PhD and Postdoc positions available at the Adaptive Brain Lab,…
https://archive.cmih.maths.cam.ac.uk/phd-postdoc-positions-available-adaptive-brain-lab-university-cambridge/work on Machine learning in cognitive neuroscience. ... Projects will focus on machine learning applications in neuroscience. We aim to develop predictive models that synthesise multivariate data (high-field brain imaging and behaviour) to understand -
https://archive.cmih.maths.cam.ac.uk/wp-json/oembed/1.0/embed?url=http…
https://archive.cmih.maths.cam.ac.uk/wp-json/oembed/1.0/embed?url=https%3A%2F%2Farchive.cmih.maths.cam.ac.uk%2Fphd-postdoc-positions-available-adaptive-brain-lab-university-cambridge%2F&format=xmlUniversity of Cambridge, UK (http://www.abg.psychol.cam.ac.uk) to work on Machine learning in cognitive neuroscience. ... Work in the Adaptive Brain Lab aims to understand how humans of all ages…Read more. -
Regularized linear autoencoders, the Morse theory of loss, and…
https://archive.cmih.maths.cam.ac.uk/events-archive/regularized-linear-autoencoders-the-morse-theory-of-loss-and-backprop-in-the-brain/Regularized linear autoencoders, the Morse theory of loss, and backprop in the brain. ... Finally, we consider implications for PCA algorithms, computational neuroscience, and the algebraic topology of deep learning.
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