2012/12/20 by Carsten Timm, C. Timm, Massimiliano Di Ventra +1 · 3 citations
Engineering · Mathematics · Neuroscience · Physics and Astronomy · #Advanced Memory and Neural Computing #Algorithm #Artificial intelligence #Artificial neural network #Basis (linear algebra) #Biological system #Computation #Computer science #Electrical engineering #Electronic engineering #Electronics #Engineering #Materials science #Mathematics #Molecular Junctions and Nanostructures #Monte Carlo method #Neuromorphic engineering #Neuron #Neuroscience #SIGNAL (programming language) #Semiconductor materials and devices #Spiking neural network #cond-mat.dis-nn #cond-mat.mes-hall
paper · pdf · doi:10.1088/0957-4484/24/38/384001
published in Nanotechnology 24(38), 384001 (IOP Publishing) · 14 pages, 6 figures
arxiv created 2012/12/20 · openalex publication_date 2013/09/02 · arxiv updated 2015/06/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.