Noise-driven neuromorphic tuned amplifier

Duccio Fanelli, Francesco Ginelli, Roberto Livi, Niccolò Zagli, Clement Zankoc

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
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We study a simple stochastic model of neuronal excitatory and inhibitory interactions. The model is defined on a directed lattice and internodes couplings are modulated by a nonlinear function that mimics the process of synaptic activation. We prove that such a system behaves as a fully tunable amplifier: the endogenous component of noise, stemming from finite size effects, seeds a coherent (exponential) amplification across the chain generating giant oscillations with tunable frequencies, a process that the brain could exploit to enhance, and eventually encode, different signals. On a wider perspective, the characterized amplification process could provide a reliable pacemaking mechanism for biological systems. The device extracts energy from the finite size bath and operates as an out of equilibrium thermal machine, under stationary conditions.
Original languageEnglish
Article number062313
Pages (from-to)1-11
Number of pages11
JournalPhysical Review. E, Statistical, Nonlinear and Soft Matter Physics
Issue number6
Publication statusPublished - 26 Dec 2017

Bibliographical note

The authors acknowledge financial support from H2020-MSCA-ITN-2015 project COSMOS 642563.


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