Work

Bifurcation and oscillations in fluidic nanopores: A model neuron for liquid neuromorphic networks

Year: 2025

Type: article

Abstract: Neuron spiking constitutes the central information node in neural networks. Nanoscale fluidic pores with rectification and hysteresis provide the opportunity to induce voltage oscillations with the same physical principles as in living neurons. We establish the conditions that enable self-sustained limit-cycle oscillations in a single artificial pore channel by a Hopf bifurcation, thus providing the minimal model for the elementary neuron. On a fluidic nanochannel that contains the necessary ingredients as the capacitive and inductive response and a stationary negative resistance, we identify the range of physical parameters where oscillations occur. These results provide crucial guidelines for identifying the conditions to build the oscillating nanopore according to the system's geometrical, electrical, fluidic, and chemical variables, which otherwise could be overlooked, since the relevant parameter region producing oscillations can be narrow.

Source: Physical Review Research

DOI: 10.1103/physrevresearch.7.013282

Authors: Alicia Cordero, Juan R. Torregrosa, Juan Bisquert

Institutions: Universitat Politècnica de València, Instituto de Tecnología Química

Language: English

Topic: Nanopore and Nanochannel Transport Studies

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,625

Funder: European Research Council