Experiments on autonomous Boolean networks
David P. Rosin, Damien Rontani, Daniel J. Gauthier, Eckehard Sch\"oll

TL;DR
This paper demonstrates the implementation of autonomous Boolean networks on FPGAs, enabling the study of complex dynamical behaviors like chaos and excitability in large-scale, flexible topologies.
Contribution
It introduces a novel FPGA-based experimental platform for autonomous Boolean networks, allowing exploration of complex network dynamics beyond traditional methods.
Findings
Networks exhibit periodic, chaotic, and excitable behaviors
Flexible topologies with time-delay links are realizable
Potential to test theoretical results on complex network dynamics
Abstract
We realize autonomous Boolean networks by using logic gates in their autonomous mode-of-operation on a field-programmable gate array. This allows us to implement time-continuous systems with complex dynamical behaviors that can be conveniently interconnected into large-scale networks with flexible topologies that consist of time-delay links and a large number of nodes. We demonstrate how we realize networks with periodic, chaotic, and excitable dynamics and study their properties. Field-programmable gate arrays define a new experimental paradigm that holds great potential to test a large body of theoretical results on the dynamics of complex networks, which has been beyond reach of traditional experimental approaches.
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