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.<br><br>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.<br><br>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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