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1 - 9 of 9 search results for neuroscience |u:cbl.eng.cam.ac.uk

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

    https://cbl.eng.cam.ac.uk/news/hennequin_cosyne_2019.pdf
    25 Jun 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. 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: 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.

  4. Manifold GPLVMs for discovering non-Euclideanlatent structure in…

    https://cbl.eng.cam.ac.uk/publications/jensen-neurips-2020.pdf
    25 Jun 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).

  5. CMR7

    https://cbl.eng.cam.ac.uk/publications/hennequin-nips-2014.pdf
    25 Jun 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 &

  6. Chapter 3A Theoretical Framework for the Dynamicsof Multiple…

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

  7. 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. ... DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.Nature neuroscience,

  8. The stabilized supralinear network accounts for the contrast…

    https://cbl.eng.cam.ac.uk/publications/holt-biorxiv-2023.pdf
    25 Jun 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

  9. Non-reversible Gaussian processes for identifyinglatent dynamical…

    https://cbl.eng.cam.ac.uk/publications/rutten-neurips-2020.pdf
    25 Jun 2024: S. RuttenGatsby Computational Neuroscience UnitUniversity College London, London, UK. & Janelia Research Campus, HHMIAshburn, VA, USA. ... 4D). 5 Discussion. A great challenge in neuroscience is to unravel the dynamical mechanisms that underlie

  10. Neuron Article Optimal Control of Transient Dynamicsin Balanced…

    https://cbl.eng.cam.ac.uk/publications/hennequin-neuron-2014.pdf
    25 Jun 2024: Neuron. Article. Optimal Control of Transient Dynamicsin Balanced Networks Supports Generationof Complex MovementsGuillaume Hennequin,1,2, Tim P. Vogels,1,3,4 and Wulfram Gerstner1,41School of Computer and Communication Sciences and Brain Mind

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