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David Dahmen
ORCID
Publication Activity (10 Years)
Years Active: 2012-2023
Publications (10 Years): 7
Top Topics
Bayesian Inference
Neural Network
Learned Rules
Top Venues
CoRR
Frontiers Neuroinformatics
PLoS Comput. Biol.
NeurIPS
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Publications
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Kirsten Fischer
,
David Dahmen
,
Moritz Helias
Optimal signal propagation in ResNets through residual scaling.
CoRR
(2023)
Javed Lindner
,
David Dahmen
,
Michael Krämer
,
Moritz Helias
A theory of data variability in Neural Network Bayesian inference.
CoRR
(2023)
Jonas Stapmanns
,
Jan Hahne
,
Moritz Helias
,
Matthias Bolten
,
Markus Diesmann
,
David Dahmen
Event-Based Update of Synapses in Voltage-Based Learning Rules.
Frontiers Neuroinformatics
15 (2021)
Matthieu Gilson
,
David Dahmen
,
Rubén Moreno-Bote
,
Andrea Insabato
,
Moritz Helias
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks.
PLoS Comput. Biol.
16 (10) (2020)
Sandra Nestler
,
Christian Keup
,
David Dahmen
,
Matthieu Gilson
,
Holger Rauhut
,
Moritz Helias
Unfolding recurrence by Green's functions for optimized reservoir computing.
NeurIPS
(2020)
David Dahmen
,
Matthieu Gilson
,
Moritz Helias
Capacity of the covariance perceptron.
CoRR
(2019)
Jan Hahne
,
David Dahmen
,
Jannis Schuecker
,
Andreas Frommer
,
Matthias Bolten
,
Moritz Helias
,
Markus Diesmann
Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator.
Frontiers Neuroinformatics
11 (2017)
Eduardo Bermúdez
,
David Dahmen
,
Henry Gonzalez
Expert Memory in Blindfold Chess960 - An Interpretation in the light of LIDA.
CogSci
(2012)