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

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DataCite Commons2026-02-06 更新2026-02-08 收录
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https://agh.rodbuk.pl/citation?persistentId=doi:10.58032/AGH/LSZUBJ
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资源简介:
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.
提供机构:
AGH University of Krakow
创建时间:
2026-02-05
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