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

by Dejan Pecevski, Lars Buesing, Wolfgang Maass
Published 2011-12-01

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

by Paul Richmond, Lars Buesing, Michele Giugliano, Eleni Vasilaki
Published 2011-05-01

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

by Bernhard Nessler, Michael Pfeiffer, Lars Buesing, Wolfgang Maass
Published 2013-04-01

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

by Lars Buesing, Johannes Bill, Bernhard Nessler, Wolfgang Maass
Published 2011-11-01

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

by Johannes Bill, Lars Buesing, Stefan Habenschuss, Bernhard Nessler, Wolfgang Maass, Robert Legenstein
Published 2015-01-01