Search

Search Funnelback University

Search powered by Funnelback
11 - 20 of 23 search results for `systems neuroscience`
  1. Fully-matching results

  2. Notices by Faculty Boards, etc. - Cambridge University Reporter 6744

    https://www.reporter.admin.cam.ac.uk/reporter/2023-24/weekly/6744/section4.shtml
    5 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.
  3. Neuroscience out of control:control-theoretic perspectives on neural…

    https://cbl.eng.cam.ac.uk/publications/kao-cur-op-neurobiol-2019.pdf
    25 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
  4. 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
  5. ILQR-VAE : CONTROL-BASED LEARNING OF INPUT-DRIVEN DYNAMICS WITH…

    https://cbl.eng.cam.ac.uk/publications/schimel-iclr-2022.pdf
    25 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
  6. 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.
  7. Chapter 3A Theoretical Framework for the Dynamicsof Multiple…

    https://cbl.eng.cam.ac.uk/publications/remme-book-chapter-2012.pdf
    25 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
  8. 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
  9. 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.
  10. 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
  11. 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.

Refine your results

Format

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.