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ORCIDLyle Muller
Person information
- affiliation: Salk Institute for Biological Studies, La Jolla, CA, USA
- affiliation (PhD 2014): Université Pierre et Marie Curie, Paris, France
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2020 – today
- 2024
[i6]Lyle Muller, Patricia S. Churchland, Terrence J. Sejnowski:
Transformers and Cortical Waves: Encoders for Pulling In Context Across Time. CoRR abs/2401.14267 (2024)- 2023
- [j9]Tung T. Nguyen, Roberto C. Budzinski
, Jacqueline Ðoàn, Federico W. Pasini, Ján Minác, Lyle E. Muller:
Equilibria in Kuramoto Oscillator Networks: An Algebraic Approach. SIAM J. Appl. Dyn. Syst. 22(2): 802-824 (2023) - [i5]T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling:
Traveling Waves Encode the Recent Past and Enhance Sequence Learning. CoRR abs/2309.08045 (2023) - [i4]Roberto C. Budzinski, Alexandra N. Busch, Samuel Mestern, Erwan Martin, Luisa H. B. Liboni, Federico W. Pasini, Ján Minác, Todd Coleman, Wataru Inoue, Lyle E. Muller:
An exact mathematical description of computation with transient spatiotemporal dynamics in a complex-valued neural network. CoRR abs/2311.16431 (2023) - [i3]Luisa H. B. Liboni, Roberto C. Budzinski, Alexandra N. Busch, Sindy Löwe, Thomas A. Keller, Max Welling, Lyle E. Muller:
Image segmentation with traveling waves in an exactly solvable recurrent neural network. CoRR abs/2311.16943 (2023)
2010 – 2019
- 2018
- [j8]Giri P. Krishnan, Burke Q. Rosen, Jen-Yung Chen, Lyle Muller, Terrence J. Sejnowski, Sydney S. Cash, Eric Halgren, Maxim Bazhenov:
Thalamocortical and intracortical laminar connectivity determines sleep spindle properties. PLoS Comput. Biol. 14(6) (2018) - 2017
- [j7]Anup Das, Aaron L. Sampson, Claudia Lainscsek, Lyle Muller, Wutu Lin, John C. Doyle, Sydney S. Cash, Eric Halgren, Terrence J. Sejnowski:
Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings. Neural Comput. 29(3): 603-642 (2017) - [j6]Claudia Lainscsek, Lyle E. Muller, Aaron L. Sampson, Terrence J. Sejnowski:
Analytical Derivation of Nonlinear Spectral Effects and 1/f Scaling Artifact in Signal Processing of Real-World Data. Neural Comput. 29(7): 2004-2020 (2017) - 2015
- [j5]Michelle Rudolph-Lilith, Lyle E. Muller:
On a link between Dirichlet kernels and central multinomial coefficients. Discret. Math. 338(9): 1567-1572 (2015) - 2014
- [j4]Michelle Rudolph-Lilith, Lyle E. Muller:
Aspects of randomness in neural graph structures. Biol. Cybern. 108(4): 381-396 (2014) - [j3]Michelle Rudolph-Lilith, Lyle E. Muller:
On a representation of the Verhulst logistic map. Discret. Math. 324: 19-27 (2014) - [i2]Mihai A. Petrovici, Bernhard Vogginger, Paul Müller, Oliver Breitwieser, Mikael Lundqvist, Lyle Muller, Matthias Ehrlich, Alain Destexhe, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier:
Bridging the gap between software simulation and emulation on neuromorphic hardware: An investigation of causes, effects and compensation of network-level anomalies in a mixed-signal waferscale neuromorphic modeling platform. CoRR abs/1404.7514 (2014) - 2013
- [i1]Michelle Rudolph-Lilith, Lyle E. Muller:
Aspects of randomness in neural graph structures. CoRR abs/1310.5062 (2013) - 2011
- [j2]Daniel Brüderle, Mihai A. Petrovici, Bernhard Vogginger, Matthias Ehrlich, Thomas Pfeil, Sebastian Millner, Andreas Grübl, Karsten Wendt, Eric Müller, Marc-Olivier Schwartz, Dan Husmann de Oliveira, Sebastian Jeltsch, Johannes Fieres, Moritz Schilling, Paul Müller, Oliver Breitwieser, Venelin Petkov, Lyle Muller, Andrew P. Davison, Pradeep Krishnamurthy, Jens Kremkow, Mikael Lundqvist, Eilif Mueller, Johannes Partzsch, Stefan Scholze, Lukas Zühl, Christian Mayr, Alain Destexhe, Markus Diesmann, Tobias C. Potjans, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier:
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biol. Cybern. 104(4-5): 263-296 (2011) - [j1]Lyle Muller, Romain Brette, Boris S. Gutkin:
Spike-Timing Dependent Plasticity and Feed-Forward Input Oscillations Produce Precise and Invariant Spike Phase-Locking. Frontiers Comput. Neurosci. 5: 45 (2011)
Coauthor Index
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