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

    https://cbl.eng.cam.ac.uk/news/hennequin_cosyne_2019.pdf
    4 Jul 2024: Neuroscience out of control. Control-theoretic methods. for understanding neural circuits. Guillaume Hennequin. ... connectivity matrix. short-term memory decision-making V1. Linear systems in neuroscience. τdx.
  3. Po-Ling Loh

    https://www.dpmms.cam.ac.uk/~pll28/pubs.html
    4 Jul 2024: Frontiers in Neuroscience 12: 861, 2018. P. Loh and X. Tan.
  4. Neuroscience out of control:control-theoretic perspectives on neural…

    https://cbl.eng.cam.ac.uk/publications/kao-cur-op-neurobiol-2019.pdf
    4 Jul 2024: Neuroscience out of control:control-theoretic perspectives on neural circuit dynamics. Ta-Chu Kao1 and Guillaume Hennequin@1. ... In: Nature Neuroscience 21 (2018),pp. 102–110. [45] J. J. Paton and D.
  5. Sebastian Ahnert's Homepage

    www.tcm.phy.cam.ac.uk/~sea31/
    4 Jul 2024: Bullmore. The rich club of the C. elegans neuronal connectome. Journal of Neuroscience 33, 6380 (2013)..
  6. Cambridge University Reporter No 6748, Wednesday 3 July 2024, Vol…

    https://www.reporter.admin.cam.ac.uk/reporter/2023-24/weekly/6748/6748-public.pdf
    4 Jul 2024: Auditory Neuroscience 728Reports. First-stage Report of the Council on the alteration and refurbishment of the Stirling Building on the Sidgwick site 729. ... of the Department of Physiology, Development, and Neuroscience), has agreed to the renaming of
  7. The stabilized supralinear network accounts for the contrast…

    https://cbl.eng.cam.ac.uk/publications/holt-biorxiv-2023.pdf
    4 Jul 2024: Caleb J. Holt1a, Kenneth D. Miller2 and Yashar Ahmadian3. 1aInstitute of Neuroscience, Department of Physics, University of Oregon, OR, USA2Center for Theoretical Neuroscience, Swartz Program in Theoretical Neuroscience, Kavli Institute for
  8. Manifold GPLVMs for discovering non-Euclideanlatent structure in…

    https://cbl.eng.cam.ac.uk/publications/jensen-neurips-2020.pdf
    4 Jul 2024: Most models in neuroscience justifiably assume that neurons are smoothly tuned (Stringer et al.,2019). ... Nature Neuroscience, 17(11):1500–1509. 10. Cunningham, J. P. and Ghahramani, Z. (2015).
  9. ILQR-VAE : CONTROL-BASED LEARNING OF INPUT-DRIVEN DYNAMICS WITH…

    https://cbl.eng.cam.ac.uk/publications/schimel-iclr-2022.pdf
    4 Jul 2024: ABSTRACT. Understanding how neural dynamics give rise to behaviour is one of the mostfundamental questions in systems neuroscience. ... DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.Nature neuroscience,
  10. CMR7

    https://cbl.eng.cam.ac.uk/publications/hennequin-nips-2014.pdf
    4 Jul 2024: Cambridge University Press, 2003. [3] D. Knill and A. Pouget. The Bayesian brain: the role of uncertainty in neural coding and computation.Trends in Neurosciences, 27:712–719, 2004. ... Máté Lengyel1. m.lengyel@eng.cam.ac.uk. 1Computational &
  11. Chapter 3A Theoretical Framework for the Dynamicsof Multiple…

    https://cbl.eng.cam.ac.uk/publications/remme-book-chapter-2012.pdf
    4 Jul 2024: N.W. Schultheiss et al. (eds.), Phase Response Curves in Neuroscience: Theory,Experiment, and Analysis, Springer Series in Computational Neuroscience 6,DOI 10.1007/978-1-4614-0739-3 3, Springer ... Hippocampus, 15(7):950–62. Izhikevich, E. (2007).

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