Strategies to Finding Optimal Parameters for Plasticity Changes in Memristor‑Based Systems for Neuromorphic Data Computing - research data

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Authors: Tomasz Mazur
Cited by: 0

Abstract

This repository contains experimental datasets supporting the investigation of synaptic plasticity phenomena in memristive devices, with a particular focus on potentiation–depression dynamics, spike rate dependent plasticity (SRDP), and spike time dependent plasticity (STDP). The data underpin figures presented in the associated publication and enable reproducibility, secondary analysis, and comparative studies of memristor-based neuromorphic behavior. The primary objective of the deposited data is to document and quantify the electrical response of memristive devices under controlled pulse sequences designed to emulate biological synaptic learning rules. The datasets capture device state evolution under various pulse polarities, amplitudes, durations, and conditioning regimes, allowing assessment of switching behavior, stability, and semi-stationary response characteristics. The repository includes raw and processed electrical measurement data corresponding to Figures 2, 4, and 6.

Fields of Study & Subjects

Advanced Memory and Neural Computing Ferroelectric and Negative Capacitance Devices Neural dynamics and brain function

Publication details

Journal / source
Akademia Górniczo-Hutnicza w Krakowie
Publication date
5 February 2026
Document type
Dataset