papers
Publications (13)
cs.NE2018
Deep Rewiring: Training very sparse deep networks
Guillaume Bellec, David Kappel, Wolfgang Maass +1
q-bio.NC2017
A probabilistic model for learning in cortical microcircuit motifs with data-based divisive inhibition
Robert Legenstein, Zeno Jonke, Stefan Habenschuss +1
cs.ET2013
Integration of nanoscale memristor synapses in neuromorphic computing architectures
Giacomo Indiveri, Bernabe Linares-Barranco, Robert Legenstein +2
cs.NE2017
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System
Sebastian Schmitt, Johann Klaehn, Guillaume Bellec +22
cs.NE2019
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype
Yexin Yan, David Kappel, Felix Neumaerker +7
cs.NE2018
Long short-term memory and learning-to-learn in networks of spiking neurons
Guillaume Bellec, Darjan Salaj, Anand Subramoney +2
q-bio.NC2017
Feedback inhibition shapes emergent computational properties of cortical microcircuit motifs
Zeno Jonke, Robert Legenstein, Stefan Habenschuss +1
cs.NE2019
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets
Guillaume Bellec, Franz Scherr, Elias Hajek +3
q-bio.NC2017
Pattern representation and recognition with accelerated analog neuromorphic systems
Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn +33
cs.NE2018
CaMKII activation supports reward-based neural network optimization through Hamiltonian sampling
Zhaofei Yu, David Kappel, Robert Legenstein +3
q-bio.NC2018
A dynamic connectome supports the emergence of stable computational function of neural circuits through reward-based learning
David Kappel, Robert Legenstein, Stefan Habenschuss +2
cs.NE2015
Network Plasticity as Bayesian Inference
David Kappel, Stefan Habenschuss, Robert Legenstein +1
cs.ET2019
Fast learning synapses with molecular spin valves via selective magnetic potentiation
Alberto Riminucci, Robert Legenstein