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Cambridge Neuroscience provides opportunities for mutual learning between scientists and members of the public. ... excerpt":{"rendered":"pPublic engagement at Cambridge Neuroscience provides opportunities for mutual learning between scientists and

Action control and learning at the Cambridge Centre for Ageing and Neuroscience (see PRePAReD: Prospective Evaluation of Parkinson’s Plus and Related Disorders. ... NIMROD study of neuroinflammation in Dementia (see also the NIHR Clinical Research

Professor Everitt has been recognised for his seminal research on mechanisms underlying learning, memory reconsolidation, motivation, and reward, especially as related to addiction, and for exceptional leadership of neuroscience societies in

This suggests an approach that marries traditional engineering disciplines with all domains of neuroscience. ... This trend is reflected in flagship conferences such as NeurIPS, which attract research on neuroscience, machine learning and AI

style-lead"ema href="https://neuroscience.wustl.edu/opportunities/inspire/#2024-application"Apply by November 22, 2023 u00bb/a/em/pnpINSPIRE is a prestigious symposium sponsored by the Department of Neuroscience ... The Department of Neuroscience covers

This meeting will be open to neuroscientists of every discipline! You will be able to present a poster/data blitz on any of the themes of Cambridge Neuroscience – learning from each ... Posters can cover any of the six themes of Cambridge Neuroscience

The programme launched on 1 October 2020 and is looking to employ researchers from the fields of neuroscience, psychology, education and other related fields./pnpa ... The candidate will contribute scientific leadership with a particular focus on the

4F12. Computer Vision. 4F13. Probabilistic Machine Learning. 4G1. Mathematical Biology of the Cell. ... 4G3. Computational Neuroscience. 4G5. Materials and Molecules: Modelling, Simulation and Machine Learning.

{"id":45969,"date":"2024-01-29T18:24:24","date_gmt":"2024-01-29T18:24:24","guid":{"rendered":"https://neuroscience.cam.ac.uk/?post_type=tribe_events&p=45969"},"modified":"2024-02- ... to present a poster/data blitz on any of the themes of Cambridge

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.