A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. - Daniel Brüderle; Mihai A. Petrovici; Bernhard Vogginger; Matthias Ehrlich; Thomas Pfeil; Sebastian Millner; Andreas Grübl; Karsten Wendt; Eric Müller 001; Marc-Olivier Schwartz; Dan Husmann de Oliveira; Sebastian Jeltsch; et al. (Biol. Cybern., 2011)

Spike-Timing Dependent Plasticity and Feed-Forward Input Oscillations Produce Precise and Invariant Spike Phase-Locking. - Lyle Muller; Romain Brette; Boris S. Gutkin (Frontiers Comput. Neurosci., 2011)

Aspects of randomness in neural graph structures. - Michelle Rudolph-Lilith; Lyle E. Muller (Biol. Cybern., 2014)

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. - Mihai A. Petrovici; Bernhard Vogginger; Paul Müller 002; Oliver Breitwieser; Mikael Lundqvist; Lyle Muller; Matthias Ehrlich; Alain Destexhe; Anders Lansner; René Schüffny; Johannes Schemmel; Karlheinz Meier (CoRR, 2014)

On a representation of the Verhulst logistic map. - Michelle Rudolph-Lilith; Lyle E. Muller (Discret. Math., 2014)

On a link between Dirichlet kernels and central multinomial coefficients. - Michelle Rudolph-Lilith; Lyle E. Muller (Discret. Math., 2015)

Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings. - Anup Das 004; Aaron L. Sampson; Claudia Lainscsek; Lyle Muller; Wutu Lin; John C. Doyle 001; Sydney S. Cash; Eric Halgren; Terrence J. Sejnowski (Neural Comput., 2017)

Analytical Derivation of Nonlinear Spectral Effects and 1/f Scaling Artifact in Signal Processing of Real-World Data. - Claudia Lainscsek; Lyle E. Muller; Aaron L. Sampson; Terrence J. Sejnowski (Neural Comput., 2017)

Thalamocortical and intracortical laminar connectivity determines sleep spindle properties. - Giri P. Krishnan; Burke Q. Rosen; Jen-Yung Chen; Lyle Muller; Terrence J. Sejnowski; Sydney S. Cash; Eric Halgren; Maxim Bazhenov (PLoS Comput. Biol., 2018)

An exact mathematical description of computation with transient spatiotemporal dynamics in a complex-valued neural network. - 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 (CoRR, 2023)

Image segmentation with traveling waves in an exactly solvable recurrent neural network. - Luisa H. B. Liboni; Roberto C. Budzinski; Alexandra N. Busch; Sindy Löwe; Thomas A. Keller 001; Max Welling; Lyle E. Muller (CoRR, 2023)

Equilibria in Kuramoto Oscillator Networks: An Algebraic Approach. - Tung T. Nguyen; Roberto C. Budzinski; Jacqueline Ðoàn; Federico W. Pasini; Ján Minác; Lyle E. Muller (SIAM J. Appl. Dyn. Syst., 2023)

Traveling Waves Encode The Recent Past and Enhance Sequence Learning. - T. Anderson Keller 001; Lyle Muller; Terrence J. Sejnowski; Max Welling (ICLR, 2024)

Transformers and Cortical Waves: Encoders for Pulling In Context Across Time. - Lyle Muller; Patricia S. Churchland; Terrence J. Sejnowski (CoRR, 2024)

A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems. - T. Anderson Keller 001; Lyle Muller; Terrence J. Sejnowski; Max Welling (CoRR, 2024)

Traveling Waves Integrate Spatial Information Through Time. - Mozes Jacobs; Roberto C. Budzinski; Lyle Muller; Demba E. Ba; T. Anderson Keller 001 (CoRR, 2025)