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search results for `systems neuroscience` |u:cbl.eng.cam.ac.uk
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Neuroscience out of control Control-theoretic methods for…
https://cbl.eng.cam.ac.uk/news/hennequin_cosyne_2019.pdf25 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. -
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 -
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 -
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
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