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27 Jun 2024: GROUPS. Computational and Biological Learning Lab. The group uses engineering approaches to understand the brain and to develop artificial learning systems. ... Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak

28 Jun 2024: Main menu. Keyword search. Breadcrumb. Engineering. Pembroke Engineering students as a cohort typically do rather well in the competitive examination at the end of each year. With about sixty five Engineering students at Pembroke, and with the

27 Jun 2024: At both levels, our work builds heavily upon engineering-related domains such as dynamical systems and control theory, probabilistic machine learning, and optimization. ... Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and

27 Jun 2024: Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for systems neuroscience” (examined by Yashar Ahmadian and Jonathan Pillow – thank you

27 Jun 2024: Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for systems neuroscience” (examined by Yashar Ahmadian and Jonathan Pillow – thank you ... New paper accepted at Nature

27 Jun 2024: Research in computational neuroscience covers learning and memory in perceptual, cognitive, and motor systems. ... Students in computational neuroscience benefit from the strong machine learning group within CBL.

27 Jun 2024: Editorial overview: Computational neuroscience. Doiron B and Lengyel M. Current Opinion in Neurobiology, 2019. ... In parallel, a more mature theoretical community has built solid social networks (through conferences such as the Computational Neuroscience

28 Jun 2024: Quantitative Climate and Environmental Science (Part III only). • Systems Biology (Part III only). • ... Continued Part I subjects. Physiology, Development and Neuroscience Recommended: Part IA: Physiology of Organisms.

27 Jun 2024: Kris has a PhD! Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for systems neuroscience” (examined by Yashar Ahmadian and

27 Jun 2024: TC Kao, and G Hennequin. Abstract. A major challenge in systems neuroscience is to understand how the dynamics of neural circuits give rise to behaviour. ... Although a rich engineering literature has grown over decades to facilitate the analysis of such