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Henning Sprekeler

Showing results (1-10 of 45) with videos related to

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Current Opinion in Neurobiology|May 14, 2017
Functional consequences of inhibitory plasticity: homeostasis, the excitation-inhibition balance and beyondHenning Sprekeler
Neural Computation|September 17, 2011
On the relation of slow feature analysis and Laplacian eigenmapsHenning Sprekeler
Plos Computational Biology|May 17, 2019
Amplifying the redistribution of somato-dendritic inhibition by the interplay of three interneuron typesLoreen Hertäg, Henning Sprekeler
Proceedings 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 Sprekeler
Elife|August 22, 2020
Learning prediction error neurons in a canonical interneuron circuitLoreen Hertäg, Henning Sprekeler
Neural Computation|December 19, 2007
Predictive coding and the slowness principle: an information-theoretic approachFelix Creutzig, Henning Sprekeler
Nature|July 30, 2025
From bench to big boss: mitigating the widening gap between PI and labMatthias Rillig, Henning Sprekeler
Frontiers in Neural Circuits|May 22, 2023
Cortical interneurons: fit for function and fit to function? Evidence from development and evolutionJoram Keijser, Henning Sprekeler
Plos Computational Biology|April 28, 2022
Optimizing interneuron circuits for compartment-specific feedback inhibitionJoram Keijser, Henning Sprekeler
Neural Computation|November 26, 2010
A theory of slow feature analysis for transformation-based input signals with an application to complex cellsHenning Sprekeler, Laurenz Wiskott
Pageof 5

Showing results (1-10 of 45) with videos related to

Sort By:
Pageof 5
Current Opinion in Neurobiology|May 14, 2017
Functional consequences of inhibitory plasticity: homeostasis, the excitation-inhibition balance and beyondHenning Sprekeler
Neural Computation|September 17, 2011
On the relation of slow feature analysis and Laplacian eigenmapsHenning Sprekeler
Plos Computational Biology|May 17, 2019
Amplifying the redistribution of somato-dendritic inhibition by the interplay of three interneuron typesLoreen Hertäg, Henning Sprekeler
Proceedings 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 Sprekeler
Elife|August 22, 2020
Learning prediction error neurons in a canonical interneuron circuitLoreen Hertäg, Henning Sprekeler
Neural Computation|December 19, 2007
Predictive coding and the slowness principle: an information-theoretic approachFelix Creutzig, Henning Sprekeler
Nature|July 30, 2025
From bench to big boss: mitigating the widening gap between PI and labMatthias Rillig, Henning Sprekeler
Frontiers in Neural Circuits|May 22, 2023
Cortical interneurons: fit for function and fit to function? Evidence from development and evolutionJoram Keijser, Henning Sprekeler
Plos Computational Biology|April 28, 2022
Optimizing interneuron circuits for compartment-specific feedback inhibitionJoram Keijser, Henning Sprekeler
Neural Computation|November 26, 2010
A theory of slow feature analysis for transformation-based input signals with an application to complex cellsHenning Sprekeler, Laurenz Wiskott
Pageof 5