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Evidence of Herding and Stubbornness in Jury Deliberations
Keith Burghardt, William Rand, Michelle Girvan
We explore how the mechanics of collective decision-making, especially of jury deliberation, can be inferred from macroscopic statistics. We first hypothesize that the dynamics of…
Using Machine Learning to Replicate Chaotic Attractors and Calculate Lyapunov Exponents from Data
Jaideep Pathak, Zhixin Lu, Brian R. Hunt +2
We use recent advances in the machine learning area known as 'reservoir computing' to formulate a method for model-free estimation from data of the Lyapunov exponents of a chaotic…
Modeling the Network Dynamics of Pulse-Coupled Neurons
Sarthak Chandra, David Hathcock, Kimberly Crain +3
We derive a mean-field approximation for the macroscopic dynamics of large networks of pulse-coupled theta neurons in order to study the effects of different network degree distrib…