Noise driven neuromorphic tuned amplifier
Duccio Fanelli, Francesco Ginelli, Roberto Livi, Niccol\`o Zagli,, Clement Zankoc

TL;DR
This paper explores how noise-driven dynamics in a neural-like lattice can produce tunable oscillations, potentially inspiring new adaptive detection technologies and providing insights into brain function.
Contribution
It introduces a model of excitatory and inhibitory units in a lattice that generates giant, tunable oscillations through endogenous noise, linking neural dynamics to thermodynamics and device design.
Findings
Coherent amplification occurs across the neural lattice.
Giant oscillations with adjustable frequencies are generated.
The system's entropy production rate is analytically derived.
Abstract
Living systems implement and execute an extraordinary plethora of computational tasks. The inherent degree of large scale coordination emerges as a global property, from the intricate sea of microscopic interactions. The brain, with its structural and functional architecture, represents an emblematic example of hierarchic self-organization: elementary units, the neurons, act much like instruments of an orchestra, which combine diverse timbres to create harmonious symphonies. Neurons come indeed in different types, varying in shapes, connections and electrical properties. They all team up to process external stimuli from a number of sources and integrate the information to yield, from neurons to mind, different cognitive faculties. Identifying the coarse grained modules that exert, from bottom to up, pivotal neuronal functions constitutes a goal of paramount importance. On the other…
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