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Frontiers in Neuroscience|February 15, 2024
Context association in pyramidal neurons through local synaptic plasticity in apical dendritesMaximilian Baronig, Robert LegensteinPlos One|March 17, 2025
Non-synaptic plasticity enables memory-dependent local learningRomain Ferrand, Maximilian Baronig, Florian Unger, et al.Nature Communications|July 2, 2025
Advancing spatio-temporal processing through adaptation in spiking neural networksMaximilian Baronig, Romain Ferrand, Silvester Sabathiel, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|July 29, 2011
Branch-specific plasticity enables self-organization of nonlinear computation in single neuronsRobert Legenstein, Wolfgang MaassNeural Networks : the Official Journal of the International Neural Network Society|May 23, 2007
Edge of chaos and prediction of computational performance for neural circuit modelsRobert Legenstein, Wolfgang MaassFrontiers in Computational Neuroscience|August 28, 2020
Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic RewiringThomas Limbacher, Robert LegensteinPlos Computational Biology|October 24, 2014
Ensembles of spiking neurons with noise support optimal probabilistic inference in a dynamically changing environmentRobert Legenstein, Wolfgang MaassNeural Computation|November 30, 2007
On the classification capability of sign-constrained perceptronsRobert Legenstein, Wolfgang MaassFrontiers in Neuroscience|January 8, 2015
A compound memristive synapse model for statistical learning through STDP in spiking neural networksJohannes Bill, Robert LegensteinIEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2023
Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion ModelsOzan Ozdenizci, Robert LegensteinPageof 5