Work

Nonlinear memristor model with exact solution allows for ex situ reservoir computing training and in situ inference

Year: 2024

Type: article

Abstract: A generalized logistic differential equation model of biomolecular memristors improves the tuning of hyperparameters of parallel-memristor physical reservoir computing systems by enabling ex situ training.

Source: Nanoscale

DOI: 10.1039/d4nr03439b

Authors: Nicholas Armendarez, Md Sakib Hasan, Joseph Najem

Institutions: Pennsylvania State University, University of Mississippi

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, Division of Computing and Communication Foundations

Awards: Collaborative Research: FET: Small: Reservoir Computing with Ion-Channel-Based Memristors, G1569222474, Collaborative Research: FET: Small: Reservoir Computing with Ion-Channel-Based Memristors, G8110168837

OpenAlex ID: W4404995708

FWCI: 0.937

Cites: 29

Cited by: 9

Related to: 10