List of works - Lars Buesing

A spiking neuron as information bottleneck

scientific article

Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) ⬇️

Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity

scientific article

Clustered factor analysis of multineuronal spike data ⬇️

scientific article published in January 2014

Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulations

scientific article

Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition

scientific article (publication date: 2015)

Empirical models of spiking in neural populations ⬇️

scientific article published in January 2011

Fast amortized inference of neural activity from calcium imaging data with variational autoencoders ⬇️

scientific article published in January 2017

Imagination-Augmented Agents for Deep Reinforcement Learning ⬇️

scientific article published in January 2017

Inferring neural population dynamics from multiple partial recordings of the same neural circuit ⬇️

Learning stable, regularised latent models of neural population dynamics

scientific article published in January 2012

Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons

scientific article

Neural scene representation and rendering

scientific article published on 14 June 2018

On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing ⬇️

Pointer Graph Networks ⬇️

scientific article published in November 2020

Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neurons

scientific article

Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons ⬇️

Spectral learning of linear dynamics from generalised-linear observations with application to neural population data ⬇️

scientific article published in January 2012

Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories

scientific article published in November 2007

Value-driven Hindsight Modelling ⬇️

scientific article published in November 2020

List of works by Lars Buesing

A spiking neuron as information bottleneck

Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) ⬇️

Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity

Clustered factor analysis of multineuronal spike data ⬇️

Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulations

Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition

Empirical models of spiking in neural populations ⬇️

Fast amortized inference of neural activity from calcium imaging data with variational autoencoders ⬇️

Imagination-Augmented Agents for Deep Reinforcement Learning ⬇️

Inferring neural population dynamics from multiple partial recordings of the same neural circuit ⬇️

Learning stable, regularised latent models of neural population dynamics

Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons

Neural scene representation and rendering

On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing ⬇️

Pointer Graph Networks ⬇️

Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neurons

Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons ⬇️

Spectral learning of linear dynamics from generalised-linear observations with application to neural population data ⬇️

Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories

Value-driven Hindsight Modelling ⬇️