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Notices by Faculty Boards, etc. - Cambridge University Reporter 6744
https://www.reporter.admin.cam.ac.uk/reporter/2023-24/weekly/6744/section4.shtml5 Jun 2024: Group B: Electrical engineering. 4B5. Quantum and nano-technologies. p. 4B11. Photonic systems. ... 4B24. Radio frequency systems. pc. 4B25. Embedded systems for the internet of things. -
Neuroscience out of control:control-theoretic perspectives on neural…
https://cbl.eng.cam.ac.uk/publications/kao-cur-op-neurobiol-2019.pdf25 Jun 2024: Corresponding author (g.hennequin@eng.cam.ac.uk). September 6, 2019. Summary. A major challenge in systems neuroscience is to understand how the dynamics of neural circuits give rise to ... Although a rich engineering literature has grown over decades to -
Neural Dynamics and Control Group
https://cbl.eng.cam.ac.uk/hennequin/news/kris-phd/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 -
ILQR-VAE : CONTROL-BASED LEARNING OF INPUT-DRIVEN DYNAMICS WITH…
https://cbl.eng.cam.ac.uk/publications/schimel-iclr-2022.pdf25 Jun 2024: ABSTRACT. Understanding how neural dynamics give rise to behaviour is one of the mostfundamental questions in systems neuroscience. ... While iLQR-VAE could find applications in many fields as a general approach to learning stochasticnonlinear dynamical -
Computational and Biological Learning Lab
https://cbl.eng.cam.ac.uk/vacancies/blg-phd/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. -
Chapter 3A Theoretical Framework for the Dynamicsof Multiple…
https://cbl.eng.cam.ac.uk/publications/remme-book-chapter-2012.pdf25 Jun 2024: J Neurophysiol,81(3):1296–307. Crook, S., Ermentrout, G., and Bower, J. (1998). Dendritic and synaptic effects in systems ofcoupled cortical oscillators. ... Hippocampus, 15(7):950–62. Izhikevich, E. (2007). Dynamical Systems in Neuroscience: The -
Neural Dynamics and Control Group
https://cbl.eng.cam.ac.uk/hennequin/publications/schimel-iclr-2022/27 Jun 2024: Abstract. Understanding how neural dynamics give rise to behaviour is one of the most fundamental questions in systems neuroscience. ... We demonstrate the effectiveness of iLQR-VAE on a range of synthetic systems, with autonomous as well as input-driven -
Computational Learning and Memory Group
https://cbl.eng.cam.ac.uk/lengyel/vacancies/blg-phd/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. -
Neural Sensory Processing Group
https://cbl.eng.cam.ac.uk/ahmadian/publications/27 Jun 2024: One of the central problems in systems neuroscience is to understand how neural spike trains convey sensory information. ... A major open problem in systems neuroscience is to understand the relationship between behavior and the detailed spiking -
Computational and Biological Learning Lab
https://cbl.eng.cam.ac.uk/publications/kao-tics-18/27 Jun 2024: Nature neuroscience, 3:391, 2000. [8] Timothy P Lillicrap and Stephen H Scot. ... Cortical control of arm movements: a dynamical systems perspective. Annual review of neuroscience, 36, 2013.
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