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Lars Buesing

Showing results (1-10 of 10) with videos related to

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Neural Computation|March 27, 2010
A spiking neuron as information bottleneckLars Buesing, Wolfgang Maass
Plos Computational Biology|January 6, 2012
Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neuronsDejan Pecevski, Lars Buesing, Wolfgang Maass
Network (Bristol, England)|June 6, 2012
Learning stable, regularised latent models of neural population dynamicsLars Buesing, Jakob H Macke, Maneesh Sahani
Plos One|May 17, 2011
Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulationsPaul Richmond, Lars Buesing, Michele Giugliano, et al.
Plos Computational Biology|November 19, 2011
Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neuronsLars Buesing, Johannes Bill, Bernhard Nessler, et al.
Neural Computation|September 22, 2007
Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theoriesEilif Muller, Lars Buesing, Johannes Schemmel, et al.
Plos Computational Biology|May 2, 2013
Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticityBernhard Nessler, Michael Pfeiffer, Lars Buesing, et al.
Plos One|August 19, 2015
Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral InhibitionJohannes Bill, Lars Buesing, Stefan Habenschuss, et al.
Nature|December 2, 2021
Advancing mathematics by guiding human intuition with AIAlex Davies, Petar Veličković, Lars Buesing, et al.
Science (New York, N.Y.)|June 16, 2018
Neural scene representation and renderingS M Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Neural Computation|March 27, 2010
A spiking neuron as information bottleneckLars Buesing, Wolfgang Maass
Plos Computational Biology|January 6, 2012
Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neuronsDejan Pecevski, Lars Buesing, Wolfgang Maass
Network (Bristol, England)|June 6, 2012
Learning stable, regularised latent models of neural population dynamicsLars Buesing, Jakob H Macke, Maneesh Sahani
Plos One|May 17, 2011
Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulationsPaul Richmond, Lars Buesing, Michele Giugliano, et al.
Plos Computational Biology|November 19, 2011
Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neuronsLars Buesing, Johannes Bill, Bernhard Nessler, et al.
Neural Computation|September 22, 2007
Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theoriesEilif Muller, Lars Buesing, Johannes Schemmel, et al.
Plos Computational Biology|May 2, 2013
Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticityBernhard Nessler, Michael Pfeiffer, Lars Buesing, et al.
Plos One|August 19, 2015
Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral InhibitionJohannes Bill, Lars Buesing, Stefan Habenschuss, et al.
Nature|December 2, 2021
Advancing mathematics by guiding human intuition with AIAlex Davies, Petar Veličković, Lars Buesing, et al.
Science (New York, N.Y.)|June 16, 2018
Neural scene representation and renderingS M Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, et al.
Pageof 1