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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