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Nature Communications
|
July 2, 2025
Advancing spatio-temporal processing through adaptation in spiking neural networks
Maximilian Baronig, Romain Ferrand, Silvester Sabathiel, et al.
Plos Computational Biology
|
November 7, 2015
Network Plasticity as Bayesian Inference
David Kappel, Stefan Habenschuss, Robert Legenstein, et al.
Foot & Ankle International
|
August 2, 2007
Correction of tailor's bunion with the Boesch technique: a retrospective study
Robert Legenstein, Johannes Bonomo, Wolfgang Huber, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
June 25, 2010
A reward-modulated hebbian learning rule can explain experimentally observed network reorganization in a brain control task
Robert Legenstein, Steven M Chase, Andrew B Schwartz, et al.
Scientific Reports
|
April 12, 2024
Fast learning without synaptic plasticity in spiking neural networks
Anand Subramoney, Guillaume Bellec, Franz Scherr, et al.
Advances in Neural Information Processing Systems
|
October 7, 2014
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
Robert Legenstein, Steven M Chase, Andrew B Schwartz, et al.
Eneuro
|
April 27, 2018
A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning
David Kappel, Robert Legenstein, Stefan Habenschuss, et al.
Eneuro
|
May 9, 2020
A Model for Structured Information Representation in Neural Networks of the Brain
Michael G Müller, Christos H Papadimitriou, Wolfgang Maass, et al.
Frontiers in Neuroanatomy
|
July 30, 2014
A comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modeling
Arne V Blackman, Stefan Grabuschnig, Robert Legenstein, et al.
Nanotechnology
|
September 4, 2013
Integration of nanoscale memristor synapses in neuromorphic computing architectures
Giacomo Indiveri, Bernabé Linares-Barranco, Robert Legenstein, et al.
Page
of 5
Search research articles
Search
Showing results (21-30 of 43) with videos related to
Sort By:
Page
of 5
Nature Communications
|
July 2, 2025
Advancing spatio-temporal processing through adaptation in spiking neural networks
Maximilian Baronig, Romain Ferrand, Silvester Sabathiel, et al.
Plos Computational Biology
|
November 7, 2015
Network Plasticity as Bayesian Inference
David Kappel, Stefan Habenschuss, Robert Legenstein, et al.
Foot & Ankle International
|
August 2, 2007
Correction of tailor's bunion with the Boesch technique: a retrospective study
Robert Legenstein, Johannes Bonomo, Wolfgang Huber, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
June 25, 2010
A reward-modulated hebbian learning rule can explain experimentally observed network reorganization in a brain control task
Robert Legenstein, Steven M Chase, Andrew B Schwartz, et al.
Scientific Reports
|
April 12, 2024
Fast learning without synaptic plasticity in spiking neural networks
Anand Subramoney, Guillaume Bellec, Franz Scherr, et al.
Advances in Neural Information Processing Systems
|
October 7, 2014
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
Robert Legenstein, Steven M Chase, Andrew B Schwartz, et al.
Eneuro
|
April 27, 2018
A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning
David Kappel, Robert Legenstein, Stefan Habenschuss, et al.
Eneuro
|
May 9, 2020
A Model for Structured Information Representation in Neural Networks of the Brain
Michael G Müller, Christos H Papadimitriou, Wolfgang Maass, et al.
Frontiers in Neuroanatomy
|
July 30, 2014
A comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modeling
Arne V Blackman, Stefan Grabuschnig, Robert Legenstein, et al.
Nanotechnology
|
September 4, 2013
Integration of nanoscale memristor synapses in neuromorphic computing architectures
Giacomo Indiveri, Bernabé Linares-Barranco, Robert Legenstein, et al.
Page
of 5