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.

Noise-driven neuromorphic tuned amplifier

Ginelli, Francesco;
2017-01-01

Abstract

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.
2017
http://harvest.aps.org/v2/bagit/articles/10.1103/PhysRevE.96.062313/apsxml
Statistical and Nonlinear Physics; Statistics and Probability; Condensed Matter Physics; network; neuroscience
Fanelli, Duccio; Ginelli, Francesco; Livi, Roberto; Zagli, Niccolo'; Zankoc, Clement
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2081555
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