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1 - 5 of 5 search results for `systems neuroscience`

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  2. Neuroscience out of control Control-theoretic methods for…

    https://cbl.eng.cam.ac.uk/news/hennequin_cosyne_2019.pdf
    7 Jun 2024: connectivity matrix. short-term memory decision-making V1. Linear systems in neuroscience. τdx. ... connectivity matrix. short-term memory decision-making V1 M1. Linear systems in neuroscience.

  3. 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.

  4. Neuroscience out of control:control-theoretic perspectives on neural…

    https://cbl.eng.cam.ac.uk/publications/kao-cur-op-neurobiol-2019.pdf
    7 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

  5. ILQR-VAE : CONTROL-BASED LEARNING OF INPUT-DRIVEN DYNAMICS WITH…

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

    https://cbl.eng.cam.ac.uk/publications/remme-book-chapter-2012.pdf
    7 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

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