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9 Jul 2024: New paper on contextual motor learning published in Nature. December 2021. ... Paper on a new method to characterise neural variability accepted at NeurIPS.

9 Jul 2024: See Rutten et al.’s work on non-reversible Gaussian processes (oral), and Jensen et al.’s new manifold GPLVM.

9 Jul 2024: A second line of interest is development of new statistical and computational tools for analyzing large, high-dimensional neural and behavioral datasets.

9 Jul 2024: We have a shiny new CBL website! 2020 Computational and Biological Learning Lab.

9 Jul 2024: CBL gets a new website. We have a shiny new CBL website!

9 Jul 2024: See Rutten et al.’s work on non-reversible Gaussian processes (oral), and Jensen et al.’s new manifold GPLVM. ... New paper accepted at Nature Neuroscience, with Jake Stroud, Mason Porter and Tim P.

9 Jul 2024: New paper on natural gradient in deep networks. See publications.

9 Jul 2024: a general interview on areas related to computational and experimental neuroscience but not requiring factual knowledge as you may be new to neuroscience,. ... for new applicants: 15 October. for current or previous students of Cambridge : 3 December.

9 Jul 2024: MLG has a new blog. Check it out here!

9 Jul 2024: New paper accepted at Nature Neuroscience, with Jake Stroud, Mason Porter and Tim P. ... Our results provide a new perspective on the role of modulatory systems in controlling recurrent cortical activity.

9 Jul 2024: Paper on a new method to characterise neural variability accepted at NeurIPS. ... Paper about a new functional role of active dendrites accepted at eLife.

9 Jul 2024: New paper in Neuron. See Kao et al.’s work on optimal motor preparation via a thalamo-cortical loop.

9 Jul 2024: Here, we propose a new family of “dynamical” priors over trajectories, in the form of GP covariance functions that express a property shared by most dynamical systems: temporal non-reversibility. ... Our new multi-output GP kernels can be used as drop

9 Jul 2024: However, sufficiently prolonged exposure to the new environment typically causes such neurons to adapt by responding less vigorously. ... A new look at state-space models for neural data. Paninski L, Ahmadian Y, Ferreira DG, Koyama S, Rad KR, Vidne M,

9 Jul 2024: New paper on contextual motor learning published in Nature. 2020 Computational and Biological Learning Lab.

9 Jul 2024: New paper on natural gradient in deep networks. See publications.

9 Jul 2024: This opens new avenues for approximating the natural gradient in the nonlinear case, and we show in preliminary experiments that our online natural gradient descent outperforms SGD on MNIST autoencoding while

9 Jul 2024: Critically, our theory also predicts new phenomena—evoked recovery and context-dependent single-trial learning—which we confirm experimentally.

9 Jul 2024: Two papers accepted at Neurips. See Rutten et al.’s work on non-reversible Gaussian processes (oral), and Jensen et al.’s new manifold GPLVM.

9 Jul 2024: Here, we propose a new probabilistic latent variable model to simultaneously identify the latent state and the way each neuron contributes to its representation in an unsupervised way.

9 Jul 2024: Paper on a new method to characterise neural variability accepted at NeurIPS.

9 Jul 2024: Moving beyond traditional approaches based on statistical physics, engineering-based approaches are bringing new vistas on circuit computation, by providing novel ways of. ... building artificial yet fully functional model circuits,. dissecting their

9 Jul 2024: a general interview on areas related to computational and experimental neuroscience but not requiring factual knowledge as you may be new to neuroscience,. ... for new applicants: 15 October. for current or previous students of Cambridge : 3 December.

9 Jul 2024: Máté Lengyel receives 7-year Wellcome Trust New Investigator Award. 2020 Computational and Biological Learning Lab.

9 Jul 2024: HENNEQUIN GROUP. Neural Dynamics and Control Group. Publications. Peer-reviewed articles. Preprints. 2020 Computational and Biological Learning Lab.

9 Jul 2024: Paper about a new functional role of active dendrites accepted at eLife.

9 Jul 2024: The supervisors areandis currently on academic leave and not accepting new students at this time.

9 Jul 2024: New review article on control theory for analysis of network models.

9 Jul 2024: a general interview on areas related to computational and experimental neuroscience but not requiring factual knowledge as you may be new to neuroscience,. ... for new applicants: 15 October. for current or previous students of Cambridge : 3 December.

9 Jul 2024: Figure 1 – Neural redundancy in M1 suggests a new view of M1 as a controlled dynamical system. ... This new perspective will suggest principled ways of elucidating the role of motor areas upstream of M1 (e.g.

9 Jul 2024: In contrast, artificial agents are prone to ‘catastrophic forgetting’ whereby performance on previous tasks deteriorates rapidly as new ones are acquired. ... To address these limitations, we propose Natural Continual Learning (NCL), a new method

9 Jul 2024: At the end of the 20s, a new environment will be generated with a new hidden reward location and you can do all this again (again again!).

9 Jul 2024: Here, we propose a new family of “dynamical” priors over trajectories, in the form of GP covariance functions that express a property shared by most dynamical systems: temporal non-reversibility. ... Our new multi-output GP kernels can be used as drop

9 Jul 2024: Here, we propose a new probabilistic latent variable model to simultaneously identify the latent state and the way each neuron contributes to its representation in an unsupervised way.

9 Jul 2024: We propose a new approach leveraging AI advances to drive experiments that can adjudicate between competing candidate algorithms. ... According to the dominant view, time in perceptual decision making is used for integrating new sensory evidence.

9 Jul 2024: However, time becomes a fundamental bottleneck in such sampling-based probabilistic representations: the quality of inferences depends on how fast the neural circuit generates new, uncorrelated samples from its stationary distribution

9 Jul 2024: Our results provide a new perspective on the role of modulatory systems in controlling recurrent cortical activity.

4 Jul 2024: new method, regularised, stable). Â = argmaxA logp(y0:T |A). System identification. ... the effect of stimulation. Outlook. control-theoretic perspectives on RNNs offers new ways of.

9 Jul 2024: This opens new avenues for approximating the natural gradient in the nonlinear case, and we show in preliminary experiments that our online natural gradient descent outperforms SGD on MNIST autoencoding while

9 Jul 2024: a general interview on areas related to computational and experimental neuroscience but not requiring factual knowledge as you may be new to neuroscience,. ... for new applicants: 15 October. for current or previous students of Cambridge : 3 December.

9 Jul 2024: Null ain't dull: new perspectives on motor cortex. Trends in Cognitive Sciences (2018). ... Figure 1 – Neural redundancy in M1 suggests a new view of M1 as a controlled dynamical system.

9 Jul 2024: Our theory could inform the design of new communication networks, as well as the optimal use of existing ones.

4 Jul 2024: In particular, monkeys struggle to learn new mappingsthat require M1 to produce activity outside its intrinsic man-ifold [19, 55]. ... D. Miller. “Balanced amplifi-cation: a new mechanism of selective amplificationof neural activity paerns”.

4 Jul 2024: Representations. Bishop, C. M. (2016). Pattern recognition and machine learning. Springer-Verlag New York. ... 2014). New insights and perspectives on the natural gradient method. arXiv preprintarXiv:1412.1193.

4 Jul 2024: However, time becomes a fundamental bottleneckin such sampling-based probabilistic representations: the quality of inferences de-pends on how fast the neural circuit generates new, uncorrelated samples fromits stationary distribution (the

4 Jul 2024: Chapter 3A Theoretical Framework for the Dynamicsof Multiple Intrinsic Oscillators in SingleNeurons. Michiel W.H. Remme, Máté Lengyel, and Boris S. Gutkin. Abstract The dendritic tree contributes significantly to the elementarycomputations a

4 Jul 2024: We introduced a measure of second-order non-reversibility and derived a new family ofGPs for which any sample has lower probability of occurring in reverse. ... This is a new result that we derived which we were not ableto find in the existing literature.

4 Jul 2024: Here,we propose a new probabilistic latent variable model to simultaneously identifythe latent state and the way each neuron contributes to its representation in anunsupervised way. ... This is achieved by combining a Bayesian GPLVM with recently

4 Jul 2024: 1(a)]. Furthermore, the “purelynon-normal” part of the amplification of the external noisyinput in the original network of neurons corresponds to theactivity fluctuations in the new feedforward network whereall

4 Jul 2024: However, identifying complex dynamical systems is a hard nonlin-ear filtering and learning problem that calls for new computational techniques (Kutschireiter et al.,2020). ... N. (2018). Superior arm-movementdecoding from cortex with a new,