V: Collective Dynamics and Network Theory in Complex Systems
ORAL · GG04 · ID: 1086549
Presentations
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When Swarms Collide: Using one swarm to capture another
ORAL
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Presenters
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Ira B Schwartz
- United States Naval Research Laboratory
Authors
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Ira B Schwartz
- United States Naval Research Laboratory
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jason hindes
- US Naval Research Laboratory
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M. A Hsieh
- University of Pennsylvania
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Victoria Edwards
- Univeraity of Pennsylvania
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Sayomi Kamimoto
- US Naval Research Laboratory
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Modeling firefly swarms as coupled oscillators
ORAL
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Presenters
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Guy Amichay
- Northwestern University
Authors
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Guy Amichay
- Northwestern University
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Conserved Quantities, Quasi-Periodicity and Liouville-Arnold Integrability of Ecological Networks
ORAL
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Publication: J. Paik and C. Griffin. Conserved Quantities of Ecological Networks. In Preparation. 2022
Presenters
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Christopher H Griffin
- Applied Research Laboratory
Authors
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Christopher H Griffin
- Applied Research Laboratory
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Joshua Paik
- Dept. of Mathematics, Penn State University
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Scattering theory of active particles with social distancing: non-local closure and network noise
ORAL
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Presenters
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Thomas Ihle
- University of Greifswald
Authors
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Thomas Ihle
- University of Greifswald
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Rüdiger Kürsten
- University of Greifswald
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Horst-Holger Boltz
- University of Greifswald
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Benjamin Lindner
- Humboldt University
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collective behavior in human crowds
ORAL
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Presenters
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Luis Gutierrez Martinez
- Universidad Auntónoma Metropolitana Unidad Iztapalapa
Authors
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Luis Gutierrez Martinez
- Universidad Auntónoma Metropolitana Unidad Iztapalapa
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Mario Sandoval
- Universidad Autonoma Metropolitana
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Coherent Laser Networks as Energy-Based Neural Networks
ORAL
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Publication: Miri, M. A., & Menon, V. (2022). Neural Computing with Coherent Laser Networks. arXiv preprint arXiv:2204.02224.
Presenters
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Mohammad-Ali Miri
- City University of New York / Queens College
- Queen's College
Authors
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Mohammad-Ali Miri
- City University of New York / Queens College
- Queen's College
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Vinod M Menon
- The City College of New York
- City College of New York
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Maximum Entropy Model for Genotype-Phenotype Map Organization Reveals Maximally Robust Neutral Networks
ORAL
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Publication: 1. Mohanty, V. and Louis, A.A. "A Phase Transition Between Robust (Correlated) and Fragile (Random) Phases of Input-Output Maps." Manuscript in preparation.
2. Mohanty, V., Greenbury, S., Narayanan, S., Sarkany, T., Dingle, K., Ahnert, S., and Louis, A.A. "Maximally Robust Neutral Networks in Genotype-Phenotype Maps." Manuscript in preparation.
3. Mohanty, V., Narayanan, S., Greenbury, S., Dingle, K., Ahnert, S., and Louis, A.A. "Neutral Network Topology Constrains Simultaneous Optimization of Robustness, Population Neutrality, and Information Content." Manuscript in preparation.Presenters
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Vaibhav Mohanty
- Harvard Medical School and MIT
Authors
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Vaibhav Mohanty
- Harvard Medical School and MIT
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Ard A Louis
- University of Oxford
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Driving stochastic many-particle systems using deep reinforcement learning
ORAL
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Presenters
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Adolfo Alsina
- Instituto Gulbenkian de Ciencia
Authors
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Adolfo Alsina
- Instituto Gulbenkian de Ciencia
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Onurcan Bektas
- Ludwig-Maximilians-Universität München
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Steffen Rulands
- Ludwig-Maximilians-Universität München
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Theoretical analysis of physical reservoir computing using spin waves
ORAL
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Presenters
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Natsuhiko Yoshinaga
- Tohoku Univ
Authors
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Natsuhiko Yoshinaga
- Tohoku Univ
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Satoshi Iihama
- Tohoku University
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Shigemi Mizukami
- Tohoku University
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Low-Frequency Charge Noise of Bacteria as Indicator of Ion Concentration Regulation
ORAL
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Publication: Yang, Y., Gress, H. and Ekinci, K.L., 2022. Measurement of the low-frequency charge noise of bacteria. Physical Review E, 105(6), p.064413.
Presenters
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Hagen Gress
- Boston University
Authors
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Hagen Gress
- Boston University
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Yichao Yang
- Boston University
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Kamil L Ekinci
- Boston University
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