Brain-like features of MemComputing machines
Disordered Systems and Neural Networks
2025-12-05 v1 Emerging Technologies
Biological Physics
Abstract
MemComputing is a new model of computation that exploits the non-equilibrium property-we call 'memory'-of any physical system to respond to external perturbations by keeping track of how it has reacted at previous times. Its digital, scalable version maps a finite string of symbols into a finite string of symbols. In this paper, I will discuss some analogies of the operation of MemComputing machines-in general, and digital in particular-with a few physical properties of the biological brain. These analogies could be a source of inspiration to improve on the design of these machines. In turn, they could suggest new directions of study in (computational) neuroscience.
Cite
@article{arxiv.2302.11403,
title = {Brain-like features of MemComputing machines},
author = {Massimiliano Di Ventra},
journal= {arXiv preprint arXiv:2302.11403},
year = {2025}
}