Lista de obras -

A spiking neuron as information bottleneck

artículo científico publicado en 2010

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity ⬇️

artículo científico publicado el 25 de abril de 2013

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

Clustered factor analysis of multineuronal spike data ⬇️

artículo científico publicado en 2014

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

artículo científico publicado en 2011

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

artículo científico publicado en 2015

Empirical models of spiking in neural populations ⬇️

artículo científico publicado en 2011

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

artículo científico publicado en 2017

Imagination-Augmented Agents for Deep Reinforcement Learning ⬇️

artículo científico publicado en 2017

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

Learning stable, regularised latent models of neural population dynamics ⬇️

artículo científico publicado el 1 de enero de 2012

Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons ⬇️

artículo científico publicado el 3 de noviembre de 2011

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 ⬇️

artículo científico publicado en 2020

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

artículo científico publicado en 2011

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 ⬇️

artículo científico publicado en 2012

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

artículo científico publicado en 2007

Value-driven Hindsight Modelling ⬇️

artículo científico publicado en 2020

Lista de obras de

A spiking neuron as information bottleneck

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity ⬇️

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

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 ⬇️