A Note on Emergent Behavior in Multi-agent Systems Enabled by Neuro-spike Communication
Hyeonyeong Jang, Donghyeon Song, Jin Gyu Lee, Hyungbo Shim

TL;DR
This paper introduces a bio-inspired neuro-spike communication framework for multi-agent systems that enables efficient, asynchronous synchronization with minimal bandwidth, leading to emergent behaviors.
Contribution
It proposes a novel neuro-spike communication method using 1-bit pulses for synchronization, significantly reducing communication bandwidth and energy consumption.
Findings
Achieves synchronization with 1-bit intermittent pulses
Provides convergence analysis of the neuro-spike scheme
Demonstrates effectiveness through numerical validation
Abstract
In this note, we present a novel synchronization framework for heterogeneous multi-agent systems enabled by neuro-spike communication, which induces emergence. Unlike conventional synchronization strategies that require continuous transmission of full-state data packets, our approach utilizes a bio-inspired neuromorphic amplifier to achieve practical synchronization via intermittent, 1-bit Dirac delta pulses. The proposed method drastically improves communication efficiency in terms of bandwidth and energy by minimizing the information payload to a single bit, with intermittent and asynchronous communication. We provide a rigorous convergence analysis of the proposed method and validate the proposed scheme through numerical examples.
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Neural Networks Stability and Synchronization · Neural Networks and Reservoir Computing
