Lucas Rudelt

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All published works

Action	Title	Year	Authors
+	Signatures of hierarchical temporal processing in the mouse visual system	2024	Lucas Rudelt D. Marx F. Paul Spitzner Benjamin Cramer Johannes Zierenberg Viola Priesemann
+	Signatures of hierarchical temporal processing in the mouse visual system	2023	Lucas Rudelt D. Marx F. Paul Spitzner Benjamin Cramer Johannes Zierenberg Viola Priesemann
+	Where is the error? Hierarchical predictive coding through dendritic error computation	2022	Fabian A. Mikulasch Lucas Rudelt Michael Wibral Viola Priesemann
+	Dendritic predictive coding: A theory of cortical computation with spiking neurons	2022	Fabian A. Mikulasch Lucas Rudelt Michael Wibral Viola Priesemann
+	Local dendritic balance enables learning of efficient representations in networks of spiking neurons	2021	Fabian A. Mikulasch Lucas Rudelt Viola Priesemann
+ PDF Chat	Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements	2018	Jens Wilting Jonas Dehning João Pinheiro Neto Lucas Rudelt Michael Wibral Johannes Zierenberg Viola Priesemann
+ PDF Chat	Breakdown of local information processing may underlie isoflurane anesthesia effects	2017	Patricia Wollstadt Kristin K. Sellers Lucas Rudelt Viola Priesemann Axel Hutt Flavio Fröhlich Michael Wibral
+ PDF Chat	Breakdown of local information processing may underlie isoflurane anesthesia effects	2017	Patricia Wollstadt Kristin K. Sellers Lucas Rudelt Viola Priesemann Axel Hutt Flavio Fröhlich Michael Wibral
+	The relation of local entropy and information transfer suggests an origin of isoflurane anesthesia effects in local information processing	2016	Patricia Wollstadt Kristin K. Sellers Lucas Rudelt Viola Priesemann Axel Hutt Flavio Fröhlich Michael Wibral

Common Coauthors

Coauthor	Papers Together
Viola Priesemann	9
Michael Wibral	6
Fabian A. Mikulasch	3
Flavio Fröhlich	3
Patricia Wollstadt	3
Kristin K. Sellers	3
Axel Hutt	3
Johannes Zierenberg	3
D. Marx	2
Benjamin Cramer	2
F. Paul Spitzner	2
Jonas Dehning	1
Jens Wilting	1
João Pinheiro Neto	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Bits from Brains for Biologically Inspired Computing	2015	Michael Wibral Joseph T. Lizier Viola Priesemann	3
+ PDF Chat	Fitting Linear Mixed-Effects Models Using<b>lme4</b>	2015	Douglas M. Bates Martin Mächler Benjamin M. Bolker Steve Walker	2
+ PDF Chat	Estimating mutual information	2004	Alexander Kraskov Harald Stögbauer Peter Grassberger	2
+ PDF Chat	Inferring collective dynamical states from widely unobserved systems	2018	Jens Wilting Viola Priesemann	2
+	Bayesian entropy estimation for countable discrete distributions	2014	Evan Archer Il Memming Park Jonathan W. Pillow	2
+ PDF Chat	Entropy and information in neural spike trains: Progress on the sampling problem	2004	Ilya Nemenman William Bialek Rob de Ruyter van Steveninck	2
+	Detecting strange attractors in turbulence	1981	Floris Takens	2
+ PDF Chat	Learning to represent signals spike by spike	2020	Wieland Brendel Ralph Bourdoukan Pietro Vertechi Christian K. Machens Sophie Denève	2
+	A solution to dependency: using multilevel analysis to accommodate nested data	2014	Emmeke Aarts Matthijs Verhage Jesse V. Veenvliet Conor V. Dolan Sophie van der Sluis	2
+	Permutation tests for multi-factorial analysis of variance	2003	Marti J. Anderson Cajo J. F. ter Braak	2
+ PDF Chat	Random effects structure for confirmatory hypothesis testing: Keep it maximal	2013	Dale J. Barr Roger Lévy Christoph Scheepers Harry Tily	2
+ PDF Chat	Measuring Information Transfer	2000	Thomas Schreiber	2
+	Local dendritic balance enables learning of efficient representations in networks of spiking neurons	2021	Fabian A. Mikulasch Lucas Rudelt Viola Priesemann	2
+ PDF Chat	Differentiating information transfer and causal effect	2010	Joseph T. Lizier Mikhail Prokopenko	2
+ PDF Chat	JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems	2014	Joseph T. Lizier	2
+	Generalized Measures of Information Transfer	2011	Paul L. Williams Randall D. Beer	2
+	A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants	1998	Radford M. Neal Geoffrey E. Hinton	1
+	The Theory of Branching Processes	1965	Peter Ney T. E. Harris	1
+ PDF Chat	Subsampling scaling	2017	Anna Levina Viola Priesemann	1
+ PDF Chat	Blind Nonnegative Source Separation Using Biological Neural Networks	2017	Cengiz Pehlevan Sreyas Mohan Dmitri B. Chklovskii	1
+ PDF Chat	Representation learning using event-based STDP	2018	Amirhossein Tavanaei Timothée Masquelier Anthony S. Maida	1
+ PDF Chat	Coexistence of critical sensitivity and subcritical specificity can yield optimal population coding	2017	Leonardo L. Gollo	1
+ PDF Chat	Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification	2017	Yanis Bahroun Andrea Soltoggio	1
+ PDF Chat	<i>Colloquium</i>: Criticality and dynamical scaling in living systems	2018	Miguel A. Muñoz	1
+	On the ground state of spiking network activity in mammalian cortex	2018	Jens Wilting Viola Priesemann	1
+ PDF Chat	Growing Critical: Self-Organized Criticality in a Developing Neural System	2018	Yaroslav Felipe Kalle Kossio Sven Goedeke Benjamin van den Akker Borja Ibarz Raoul-Martin Memmesheimer	1
+ PDF Chat	Between Perfectly Critical and Fully Irregular: A Reverberating Model Captures and Predicts Cortical Spike Propagation	2019	Jens Wilting Viola Priesemann	1
+	Szemerédi's regularity lemma revisited	2005	Terence Tao	1
+ PDF Chat	25 years of criticality in neuroscience — established results, open controversies, novel concepts	2019	Jens Wilting Viola Priesemann	1
+ PDF Chat	Erratum: Estimating functions of probability distributions from a finite set of samples	1996	David H. Wolpert David R. Wolf	1
+	The Allen Mouse Brain Common Coordinate Framework: A 3D Reference Atlas	2020	Quanxin Wang Song‐Lin Ding Yang Li Josh Royall David Feng Phil Lesnar Nile Graddis Maitham Naeemi Benjamin A.C. Facer Anh Ho	1
+ PDF Chat	Characterizing spreading dynamics of subsampled systems with nonstationary external input	2020	Jorge de Heuvel Jens Wilting Moritz F. P. Becker Viola Priesemann Johannes Zierenberg	1
+	Relaxing the Constraints on Predictive Coding Models	2020	Beren Millidge Alexander Tschantz Anil K. Seth Christopher L. Buckley	1
+ PDF Chat	Transition to Chaos in Random Neuronal Networks	2015	Jonathan Kadmon Haim Sompolinsky	1
+ PDF Chat	Tailored ensembles of neural networks optimize sensitivity to stimulus statistics	2020	Johannes Zierenberg Jens Wilting Viola Priesemann Anna Levina	1
+ PDF Chat	Homeostatic Plasticity and External Input Shape Neural Network Dynamics	2018	Johannes Zierenberg Jens Wilting Viola Priesemann	1
+ PDF Chat	Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements	2018	Jens Wilting Jonas Dehning João Pinheiro Neto Lucas Rudelt Michael Wibral Johannes Zierenberg Viola Priesemann	1
+ PDF Chat	Control of criticality and computation in spiking neuromorphic networks with plasticity	2020	Benjamin Cramer David Stöckel Markus Kreft Michael Wibral Johannes Schemmel Karlheinz Meier Viola Priesemann	1
+ PDF Chat	Sparse deep predictive coding captures contour integration capabilities of the early visual system	2021	Victor Boutin Angelo Franciosini Frédéric Chavane Franck Ruffier Laurent Perrinet	1
+ PDF Chat	The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity	2022	Christian Pehle Sebastian Billaudelle Benjamin Cramer Jakob Kaiser Korbinian Schreiber Yannik Stradmann Johannes Weis Aron Leibfried Eric Müller Johannes Schemmel	1
+ PDF Chat	Cortical oscillations support sampling-based computations in spiking neural networks	2022	Agnes Korcsak-Gorzo Michael G. Müller Andreas Baumbach Luziwei Leng Oliver Breitwieser Sacha J. van Albada Walter Senn Karlheinz Meier Robert Legenstein Mihai A. Petrovici	1
+	Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks	2022	Paolo Muratore Sina Tafazoli Eugenio Piasini Alessandro Laio Davide Zoccolan	1
+	Predictive Coding: a Theoretical and Experimental Review	2021	Beren Millidge Anil K. Seth Christopher L. Buckley	1
+	Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons	2021	Paul Haider Benjamin Ellenberger Laura Kriener Jakob Jordan Walter Senn Mihai A. Petrovici	1
+	Predictive coding in balanced neural networks with noise, chaos and delays	2020	Jonathan Kadmon Jonathan Timcheck Surya Ganguli	1
+	Dendritic cortical microcircuits approximate the backpropagation algorithm	2018	João Sacramento Rui Ponte Costa Yoshua Bengio Walter Senn	1
+	The Theory of Branching Processes	1963	T. E. Harris	1
+	Generalized Measures of Information Transfer	2011	Paul L. Williams Randall D. Beer	1
+	Fitting Linear Mixed-Effects Models using lme4	2014	Douglas M. Bates Martin Mächler Benjamin M. Bolker Steve Walker	1
+ PDF Chat	Bits from Biology for Computational Intelligence	2014	Michael Wibral Joseph T. Lizier Viola Priesemann	1