Molecular neuron based on the Franck-Condon blockade

TL;DR

This paper proposes a molecular-electronic neuron design based on the Franck-Condon blockade, demonstrating through simulations that it can function as a threshold-based neural element suitable for neuromorphic systems.

Contribution

The paper introduces a novel molecular-electronic neuron design utilizing the Franck-Condon blockade, advancing high-integration neuromorphic computing.

Findings

Simulation confirms neuron-like threshold behavior

Design demonstrates potential for high-density integration

Monte Carlo methods validate system functionality

Abstract

Electronic realizations of neurons are of great interest as building blocks for neuromorphic computation. Electronic neurons should send signals into the input and output lines when subject to an input signal exceeding a given threshold, in such a way that they may affect all other parts of a neural network. Here, we propose a design for a neuron that is based on molecular-electronics components and thus promises a very high level of integration. We employ the Monte Carlo technique to simulate typical time evolutions of this system and thereby show that it indeed functions as a neuron.