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Current Opinion in Neurobiology|May 14, 2017
Functional consequences of inhibitory plasticity: homeostasis, the excitation-inhibition balance and beyondHenning SprekelerNeural Computation|September 17, 2011
On the relation of slow feature analysis and Laplacian eigenmapsHenning SprekelerPlos Computational Biology|May 17, 2019
Amplifying the redistribution of somato-dendritic inhibition by the interplay of three interneuron typesLoreen Hertäg, Henning SprekelerProceedings of the National Academy of Sciences of the United States of America|June 24, 2018
Sparse bursts optimize information transmission in a multiplexed neural codeRichard Naud, Henning SprekelerElife|August 22, 2020
Learning prediction error neurons in a canonical interneuron circuitLoreen Hertäg, Henning SprekelerNeural Computation|December 19, 2007
Predictive coding and the slowness principle: an information-theoretic approachFelix Creutzig, Henning SprekelerFrontiers in Neural Circuits|May 22, 2023
Cortical interneurons: fit for function and fit to function? Evidence from development and evolutionJoram Keijser, Henning SprekelerPlos Computational Biology|April 28, 2022
Optimizing interneuron circuits for compartment-specific feedback inhibitionJoram Keijser, Henning SprekelerNeural Computation|November 26, 2010
A theory of slow feature analysis for transformation-based input signals with an application to complex cellsHenning Sprekeler, Laurenz WiskottElife|February 22, 2018
Learning place cells, grid cells and invariances with excitatory and inhibitory plasticitySimon Nikolaus Weber, Henning SprekelerPageof 5