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27 Jun 2024: Research includes Bayesian learning, computational neuroscience, statistical machine learning and sensorimotor control. ... Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for

27 Jun 2024: by developing machine learning methodology for analysing complex datasets in light of these theories. ... Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for systems

27 Jun 2024: 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 Jonathan Pillow – thank you ... We have a shiny new CBL website!

27 Jun 2024: She received an MA in Mathematics from the University of Edinburgh and an MPhil in Basic and Translational Neuroscience from the University of Cambridge. ... She is generally interested in dynamics of neural networks during learning and synaptic

27 Jun 2024: LENGYEL GROUP. Computational Learning and Memory Group. ... Paper on a normative model of short-term synaptic plasticity is accepted at Nature Neuroscience.

27 Jun 2024: She received an MA in Mathematics from the University of Edinburgh and an MPhil in Basic and Translational Neuroscience from the University of Cambridge. ... She is generally interested in dynamics of neural networks during learning and synaptic

27 Jun 2024: 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 Jonathan Pillow – thank you ... He will be giving a perspective

27 Jun 2024: LENGYEL GROUP. Computational Learning and Memory Group. ... Paper about model-based decision making in a spiking neural network accepted at the Journal of Neuroscience.

27 Jun 2024: David Liu. David is a PhD student with Máté Lengyel in the Computational and Biological Learning group at the University of Cambridge, developing and applying state-of-the-art methods for ... His main interests lie in neuroscience, machine learning,

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 ... Congrats, Kris! 2020 Computational and

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.

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.

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 ... Congrats, Kris! 2020 Computational and

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.

27 Jun 2024: In 2015, he was elected a Fellow of the Royal Society for his contributions to machine learning. ... His academic career includes concurrent appointments as one of the founding members of the Gatsby Computational Neuroscience Unit in London, and as a

27 Jun 2024: Uri Cohen. I am a Blavatnik Cambridge Postdoctoral Fellow at the Computational and Biological Learning Lab, and am interested in developing theories on the dynamics of learning and memory in the ... His main interests lie in neuroscience, machine learning

27 Jun 2024: GROUPS. Computational and Biological Learning Lab. A common problem in neuroscience is to elucidate the collective neural representations of behaviorally important variables such as head direction, spatial location, upcoming movements, or

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.

25 Jun 2024: laurence@gatsby.ucl.ac.uk. Máté Lengyel1. m.lengyel@eng.cam.ac.uk. 1Computational & Biological Learning Lab, Dept. of Engineering, University of Cambridge, UK2Gatsby Computational Neuroscience Unit, University College London, UK. ... Máté Lengyel1

25 Jun 2024: More generally, dissecting the circuit basis of com-plex computations such as motor control or reinforcementlearning will benefit from a deeper integration of control the-ory, machine learning, and neuroscience. ... Cunningham. “Towards the neu-ral

25 Jun 2024: Neural computation, 25:626–649. Titsias, M. K. (2009). Variational learning of inducing variables in sparse Gaussian processes. ... To highlight the importance of unsupervised non-Euclidean learning methods in neuroscience and toillustrate the

25 Jun 2024: While iLQR-VAE could find applications in many fields as a general approach to learning stochasticnonlinear dynamical systems, here we focus on neuroscience case studies. ... DeepLabCut: markerless pose estimation of user-defined body parts with deep