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Updated: Nov 21, 2025

A Method for Growing Bio-memristors from Slime Mold
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Ratio-based multi-level resistive memory cells.

Miguel Angel Lastras-Montaño1, Osvaldo Del Pozo-Zamudio2, Lev Glebsky2

  • 1Instituto de Investigación en Comunicación Óptica, Facultad de Ciencias, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México. miguel.lastras@uaslp.mx.

Scientific Reports
|January 15, 2021
PubMed
Summary
This summary is machine-generated.

Ratio-based encoding significantly lowers bit error probability in multi-level resistive memory cells. This novel approach improves data reliability and offers potential reductions in programming time and energy compared to traditional resistance-based methods.

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Computer Science

Background:

  • Single-level resistive memory cells use resistance-based encoding.
  • Ratio-based encoding, using resistance ratios, reduces bit error probability for single-level cells.

Purpose of the Study:

  • Generalize ratio-based encoding for multi-level resistive memory cells.
  • Demonstrate advantages over resistance-based encoding in multi-level systems.

Main Methods:

  • Derived closed-form expressions for bit error probability for both encoding methods.
  • Experimentally validated findings on resistance-switching devices.

Main Results:

  • Ratio-based encoding reduces bit error probability by up to 3 orders of magnitude compared to resistance-based encoding.
  • Achieved 5-10x reduction in programming time/energy for equivalent bit error probability.

Conclusions:

  • Ratio-based encoding is superior for multi-level resistive memory systems.
  • Offers significant improvements in data reliability and device efficiency.