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Number of items: 14.

F

Fernández, T; Rivera, N; (2020) Kaplan-Meier V- and U-statistics. Electronic Journal of Statistics , 14 (1) pp. 1872-1916. 10.1214/20-ejs1704. Green open access
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Fernández, T; Rivera, N; (2020) A Reproducing Kernel Hilbert Space log-rank test for the two-sample problem. Scandinavian Journal of Statistics: theory and applications 10.1111/sjos.12496. (In press).

Fernandez Aguilar, T; Gretton, A; Rivera, N; XU, W; (2020) Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data. In: Proceedings of the 37th International Conference on Machine Learning. (pp. pp. 3112-3122). PMLR: Vienna, Austria. Green open access
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G

Gothner, T; Gonçalves, PJ; Sahani, M; Linden, JF; Hildebrandt, KJ; (2020) Sustained Activation of PV+ Interneurons in Core Auditory Cortex Enables Robust Divisive Gain Control for Complex and Naturalistic Stimuli. Cereb Cortex 10.1093/cercor/bhaa347. (In press).

H

Hiratani, N; Latham, PE; (2020) Rapid Bayesian learning in the mammalian olfactory system. Nature Communications , 11 (1) , Article 3845. 10.1038/s41467-020-17490-0. Green open access
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J

Jativa Vega, Sofia Alejandra; (2020) A second look at memory: Different Approaches to Understanding Diversity in Memory and Cognition. Doctoral thesis (Ph.D), UCL (University College London). Green open access
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Jerjian, SJ; Sahani, M; Kraskov, A; (2020) Movement initiation and grasp representation in premotor and primary motor cortex mirror neurons. eLife , 9 , Article e54139. 10.7554/eLife.54139. (In press). Green open access
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K

Korshunova, I; Gal, Y; Gretton, A; Dambre, J; (2020) Conditional BRUNO: A neural process for exchangeable labelled data. Neurocomputing , 416 pp. 305-309. 10.1016/j.neucom.2019.11.108. Green open access
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L

Liu, F; Xu, W; Lu, J; Zhang, G; Gretton, A; Sutherland, DJ; (2020) Learning deep kernels for non-parametric two-sample tests. In: Proceedings of the 37th International Conference on Machine Learning. (pp. pp. 6272-6282). Green open access
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N

Najafi, F; Elsayed, GF; Cao, R; Pnevmatikakis, E; Latham, PE; Cunningham, JP; Churchland, AK; (2020) Excitatory and Inhibitory Subnetworks Are Equally Selective during Decision-Making and Emerge Simultaneously during Learning. Neuron , 105 (1) 165-179.e8. 10.1016/j.neuron.2019.09.045. Green open access
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P

Pogodin, R; Latham, PE; (2020) Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks. In: Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020). NeurIPS: Vancouver, Canada. Green open access
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R

Rusakov, DA; Savtchenko, LP; Latham, PE; (2020) Noisy Synaptic Conductance: Bug or a Feature? Trends in Neurosciences , 43 (6) pp. 363-372. 10.1016/j.tins.2020.03.009. Green open access
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Rutten, V; Bernacchia, A; Sahani, M; Hennequin, G; (2020) Non-reversible Gaussian processes for identifying latent dynamical structure in neural data. In: Advances in Neural Information Processing Systems 33 (NeurIPS 2020). NeurIPS Green open access
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W

Wenliang, LK; Moskovitz, T; Kanagawa, H; Sahani, M; (2020) Amortised learning by wake-sleep. In: Proceedings of the 37th International Conference on Machine Learning,. (pp. pp. 10167-10178). PMLR: Proceedings of Machine Learning Research Green open access
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This list was generated on Wed Oct 13 00:40:52 2021 BST.