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Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons., , , and . PLoS Comput. Biol., (2011)Learning model-based planning from scratch., , , , , , , , , and . CoRR, (2017)Inferring neural population dynamics from multiple partial recordings of the same neural circuit., , , , , , and . NIPS, page 539-547. (2013)On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing., , and . NIPS, page 1425-1432. Curran Associates, Inc., (2008)Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons., , and . PLoS Comput. Biol., (2011)Physically Embedded Planning Problems: New Challenges for Reinforcement Learning., , , , , , , , , and 2 other author(s). CoRR, (2020)Temporal Difference Variational Auto-Encoder., , , , and . ICLR, OpenReview.net, (2019)Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions., , and . CoRR, (2019)High-dimensional neural spike train analysis with generalized count linear dynamical systems., , , and . NIPS, page 2044-2052. (2015)Spectral learning of linear dynamics from generalised-linear observations with application to neural population data., , and . NIPS, page 1691-1699. (2012)