Reservoir Computing System using Biomolecular Memristor

Md Razuan Hossain, Joseph S. Najem, Tauhidur Rahman, Md Sakib Hasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


Reservoir Computing (RC) is a highly efficient machine learning algorithm specially suited for processing temporal dataset. RC system extracts features from input by projecting them into a high dimensional space. A major advantage of RC framework is that it only requires the readout layer to be trained which significantly reduces the training cost for complex temporal data. In recent years, memristors have become extremely popular in neuromorphic applications due to their attractive analogy to biological synapses. Alamethicin-doped, synthetic biomembrane can emulate key synaptic functions due to its volatile memristive property which can enable learning and computation. In contrast to its solid-state counterparts, this two-terminal biomolecular memristor features similar structure, switching mechanism, and ionic transport modality as biological synapses while consuming considerably lower power. In this work, we have shown biomolecular memristor-based reservoir system to solve tasks such as classification and time-series analysis in a simulation based environment. Our work may pave the way towards highly energy efficient and biocompatible memristor-based reservoir computing systems capable of handling complex temporal tasks in hardware in the near future.

Original languageEnglish (US)
Title of host publicationNANO 2021 - 21st IEEE International Conference on Nanotechnology, Proceedings
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781665441568
StatePublished - Jul 28 2021
Event21st IEEE International Conference on Nanotechnology, NANO 2021 - Virtual, Montreal, Canada
Duration: Jul 28 2021Jul 30 2021

Publication series

NameProceedings of the IEEE Conference on Nanotechnology
ISSN (Print)1944-9399
ISSN (Electronic)1944-9380


Conference21st IEEE International Conference on Nanotechnology, NANO 2021
CityVirtual, Montreal

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Electrical and Electronic Engineering
  • Materials Chemistry
  • Condensed Matter Physics


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