Lyle Muller

2.4k total citations · 1 hit paper
54 papers, 1.2k citations indexed

About

Lyle Muller is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Lyle Muller has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cognitive Neuroscience, 17 papers in Cellular and Molecular Neuroscience and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Lyle Muller's work include Neural dynamics and brain function (32 papers), EEG and Brain-Computer Interfaces (9 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). Lyle Muller is often cited by papers focused on Neural dynamics and brain function (32 papers), EEG and Brain-Computer Interfaces (9 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). Lyle Muller collaborates with scholars based in Canada, United States and France. Lyle Muller's co-authors include Terrence J. Sejnowski, John H. Reynolds, Frédéric Chavane, Alain Destexhe, Zachary W. Davis, Alexandre Reynaud, Sydney S. Cash, Eric Halgren, Julio Martínez-Trujillo and Giovanni Piantoni and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Lyle Muller

49 papers receiving 1.2k citations

Hit Papers

Cortical travelling waves: mechanisms and computational p... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lyle Muller Canada 17 1.1k 476 150 149 135 54 1.2k
Oren Shriki Israel 18 1.0k 1.0× 242 0.5× 72 0.5× 249 1.7× 126 0.9× 46 1.2k
Etienne Hugues Spain 13 905 0.9× 419 0.9× 111 0.7× 84 0.6× 85 0.6× 20 1.2k
Maurizio Mattia Italy 23 1.8k 1.7× 839 1.8× 142 0.9× 379 2.5× 387 2.9× 67 2.0k
Arvind Kumar Germany 22 1.4k 1.3× 1.1k 2.3× 103 0.7× 298 2.0× 342 2.5× 72 1.8k
Jean-Philippe Lachaux France 4 1.9k 1.8× 500 1.1× 213 1.4× 207 1.4× 81 0.6× 5 2.2k
Peter N. Steinmetz United States 15 1.0k 1.0× 583 1.2× 89 0.6× 180 1.2× 87 0.6× 33 1.2k
Nicholas M. Timme United States 16 867 0.8× 385 0.8× 63 0.4× 236 1.6× 144 1.1× 23 1.2k
X.-J. Wang United States 11 1.3k 1.2× 721 1.5× 212 1.4× 327 2.2× 104 0.8× 12 1.6k
Rodrigo Perin Switzerland 14 1.3k 1.2× 952 2.0× 74 0.5× 153 1.0× 254 1.9× 20 1.7k
Frédéric Chavane France 20 1.9k 1.8× 1.0k 2.2× 90 0.6× 146 1.0× 178 1.3× 59 2.2k

Countries citing papers authored by Lyle Muller

Since Specialization
Citations

This map shows the geographic impact of Lyle Muller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lyle Muller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lyle Muller more than expected).

Fields of papers citing papers by Lyle Muller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lyle Muller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lyle Muller. The network helps show where Lyle Muller may publish in the future.

Co-authorship network of co-authors of Lyle Muller

This figure shows the co-authorship network connecting the top 25 collaborators of Lyle Muller. A scholar is included among the top collaborators of Lyle Muller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lyle Muller. Lyle Muller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Budzinski, Roberto C., et al.. (2025). Traveling Waves Integrate Spatial Information Through Time.
2.
Budzinski, Roberto C., et al.. (2025). Dynamical properties and mechanisms of metastability: A perspective in neuroscience. Physical review. E. 111(2). 21001–21001. 5 indexed citations
3.
Mihara, Antonio, et al.. (2025). Bifurcations and collective states of Kuramoto oscillators with higher-order interactions and rotational symmetry breaking. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(3).
4.
Luna, Rogelio, Matthew L. Leavitt, Roberto A. Gulli, et al.. (2024). Neuronal activation sequences in lateral prefrontal cortex encode visuospatial working memory during virtual navigation. Nature Communications. 15(1). 4471–4471. 4 indexed citations
5.
Corrigan, Benjamin, Roberto A. Gulli, Sonia Do Carmo, et al.. (2024). Primacy of vision shapes behavioral strategies and neural substrates of spatial navigation in marmoset hippocampus. Nature Communications. 15(1). 4053–4053. 23 indexed citations
6.
Davis, Zachary W., et al.. (2024). Horizontal cortical connections shape intrinsic traveling waves into feature-selective motifs that regulate perceptual sensitivity. Cell Reports. 43(9). 114707–114707. 2 indexed citations
7.
Budzinski, Roberto C., et al.. (2023). Analytical prediction of specific spatiotemporal patterns in nonlinear oscillator networks with distance-dependent time delays. Physical Review Research. 5(1). 10 indexed citations
8.
Mináč, Ján, et al.. (2023). On the joins of group rings. Journal of Pure and Applied Algebra. 227(9). 107377–107377. 1 indexed citations
9.
Lehmann, Sebastian, Adam Williamson, Esra Neufeld, et al.. (2023). Establishing the non-human primate as an animal model for temporal interference stimulation. I. Simulations of electric fields. Brain stimulation. 16(1). 365–365. 1 indexed citations
10.
Basu, Shantanu, et al.. (2023). Predicting Stellar Mass Accretion: An Optimized Echo State Network Approach in Time Series Modeling. SHILAP Revista de lepidopterología. 6. 3 indexed citations
11.
Budzinski, Roberto C., et al.. (2023). Shifts in global network dynamics due to small changes at single nodes. Physical Review Research. 5(1). 2 indexed citations
12.
Mok, Rebecca S.F., Taimoor I. Sheikh, Isabella Rodrigues Fernandes, et al.. (2022). Wide spectrum of neuronal and network phenotypes in human stem cell-derived excitatory neurons with Rett syndrome-associated MECP2 mutations. Translational Psychiatry. 12(1). 450–450. 15 indexed citations
13.
Davis, Zachary W., et al.. (2021). Spontaneous traveling waves naturally emerge from horizontal fiber time delays and travel through locally asynchronous-irregular states. Nature Communications. 12(1). 6057–6057. 31 indexed citations
14.
Davis, Zachary W., Lyle Muller, Julio Martínez-Trujillo, Terrence J. Sejnowski, & John H. Reynolds. (2020). Spontaneous travelling cortical waves gate perception in behaving primates. Nature. 587(7834). 432–436. 120 indexed citations
15.
Sullivan, Jacqueline, Julie R. Dumont, Miguel Skirzewski, et al.. (2020). New frontiers in translational research: Touchscreens, open science, and the mouse translational research accelerator platform. Genes Brain & Behavior. 20(1). e12705–e12705. 24 indexed citations
17.
Muller, Lyle, Alexandre Reynaud, Frédéric Chavane, & Alain Destexhe. (2014). The stimulus-evoked population response in visual cortex of awake monkey is a propagating wave. Nature Communications. 5(1). 3675–3675. 136 indexed citations
18.
Muller, Lyle, et al.. (2014). Aspects of randomness in neural graph structures. Biological Cybernetics. 108(4). 381–396. 3 indexed citations
19.
Muller, Lyle & Alain Destexhe. (2012). Propagating waves in thalamus, cortex and the thalamocortical system: Experiments and models. Journal of Physiology-Paris. 106(5-6). 222–238. 49 indexed citations
20.
Kossut, Małgorzata, et al.. (1978). The effect of first visual stimulation on incorporation of labelled leucine into cerebral cortex of binocularly deprived kittens.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 38(6). 289–303. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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