A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems

Ryan Weiss; Joseph S. Najem; Md Sakib Hasan; Catherine D. Schuman; Alex Belianinov; C. Patrick Collier; Stephen A. Sarles; Garrett S. Rose

doi:10.1109/BIOCAS.2018.8584668

A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems

Ryan Weiss, Joseph S. Najem, Md Sakib Hasan, Catherine D. Schuman, Alex Belianinov, C. Patrick Collier, Stephen A. Sarles, Garrett S. Rose

Nanofabrication Research Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

The goal of neuromorphic computing is to recreate the computational power and efficiency of the human brain with circuitry. The ability of the brain to solve complex real time tasks, while consuming 20 W of power on average, is made possible through its connection density, adaptability, and parallel processing. Recreating these features using traditional electronics circuit elements is incredibly difficult, and therefore, soft-matter memristors made of biomolecules similar to those found in biological synapses and capable of emulating various synaptic features can be used as neuromorphic hardware. In this work, we introduce and experimentally demonstrate an electronic neuron circuit capable of interacting with ionic, soft-matter memristors. These memristors are proven to exhibit short-term plasticity, especially paired-pulse facilitation and depression found in presynaptic terminals - features that are not found in state-of-the-art solid-state memristors. We make use of these features for applications in online learning by developing a synapse-neuron circuit which implements spike-rate-dependent plasticity (SRDP) as a learning function.

Original language	English
Title of host publication	2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538636039
DOIs	https://doi.org/10.1109/BIOCAS.2018.8584668
State	Published - Dec 20 2018
Event	2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Cleveland, United States Duration: Oct 17 2018 → Oct 19 2018

Publication series

Name	2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings

Conference

Conference	2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018
Country/Territory	United States
City	Cleveland
Period	10/17/18 → 10/19/18

Funding

This material is based in part upon research sponsored by the National Science Foundation under Grant No. NCS-FO-1631472. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The authors would like to thank Dr. Mark Dean, Nick Skuda, Sam Brown, Sam Zimmermann, Gangotree Chakma, Md. Musabbir Adnan, Sagarvarma Sayyaparaju, and Sherif Amer from the University of Tennessee, Knoxville for interesting and useful discussions on this topic. This material is based in part upon research sponsored by the National Science Foundation under Grant No. NCS-FO- 1631472. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon.

Access to Document

10.1109/BIOCAS.2018.8584668

Cite this

Weiss, R., Najem, J. S., Hasan, M. S., Schuman, C. D., Belianinov, A., Patrick Collier, C., Sarles, S. A., & Rose, G. S. (2018). A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems. In 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings Article 8584668 (2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIOCAS.2018.8584668

@inproceedings{8b6ce948535e40189e7f3c0b6831b571,

title = "A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems",

abstract = "The goal of neuromorphic computing is to recreate the computational power and efficiency of the human brain with circuitry. The ability of the brain to solve complex real time tasks, while consuming 20 W of power on average, is made possible through its connection density, adaptability, and parallel processing. Recreating these features using traditional electronics circuit elements is incredibly difficult, and therefore, soft-matter memristors made of biomolecules similar to those found in biological synapses and capable of emulating various synaptic features can be used as neuromorphic hardware. In this work, we introduce and experimentally demonstrate an electronic neuron circuit capable of interacting with ionic, soft-matter memristors. These memristors are proven to exhibit short-term plasticity, especially paired-pulse facilitation and depression found in presynaptic terminals - features that are not found in state-of-the-art solid-state memristors. We make use of these features for applications in online learning by developing a synapse-neuron circuit which implements spike-rate-dependent plasticity (SRDP) as a learning function.",

author = "Ryan Weiss and Najem, {Joseph S.} and Hasan, {Md Sakib} and Schuman, {Catherine D.} and Alex Belianinov and {Patrick Collier}, C. and Sarles, {Stephen A.} and Rose, {Garrett S.}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 ; Conference date: 17-10-2018 Through 19-10-2018",

year = "2018",

month = dec,

day = "20",

doi = "10.1109/BIOCAS.2018.8584668",

language = "English",

series = "2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings",

}

Weiss, R, Najem, JS, Hasan, MS, Schuman, CD, Belianinov, A, Patrick Collier, C, Sarles, SA & Rose, GS 2018, A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems. in 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings., 8584668, 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018, Cleveland, United States, 10/17/18. https://doi.org/10.1109/BIOCAS.2018.8584668

A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems. / Weiss, Ryan; Najem, Joseph S.; Hasan, Md Sakib et al.
2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8584668 (2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems

AU - Weiss, Ryan

AU - Najem, Joseph S.

AU - Hasan, Md Sakib

AU - Schuman, Catherine D.

AU - Belianinov, Alex

AU - Patrick Collier, C.

AU - Sarles, Stephen A.

AU - Rose, Garrett S.

PY - 2018/12/20

Y1 - 2018/12/20

N2 - The goal of neuromorphic computing is to recreate the computational power and efficiency of the human brain with circuitry. The ability of the brain to solve complex real time tasks, while consuming 20 W of power on average, is made possible through its connection density, adaptability, and parallel processing. Recreating these features using traditional electronics circuit elements is incredibly difficult, and therefore, soft-matter memristors made of biomolecules similar to those found in biological synapses and capable of emulating various synaptic features can be used as neuromorphic hardware. In this work, we introduce and experimentally demonstrate an electronic neuron circuit capable of interacting with ionic, soft-matter memristors. These memristors are proven to exhibit short-term plasticity, especially paired-pulse facilitation and depression found in presynaptic terminals - features that are not found in state-of-the-art solid-state memristors. We make use of these features for applications in online learning by developing a synapse-neuron circuit which implements spike-rate-dependent plasticity (SRDP) as a learning function.

AB - The goal of neuromorphic computing is to recreate the computational power and efficiency of the human brain with circuitry. The ability of the brain to solve complex real time tasks, while consuming 20 W of power on average, is made possible through its connection density, adaptability, and parallel processing. Recreating these features using traditional electronics circuit elements is incredibly difficult, and therefore, soft-matter memristors made of biomolecules similar to those found in biological synapses and capable of emulating various synaptic features can be used as neuromorphic hardware. In this work, we introduce and experimentally demonstrate an electronic neuron circuit capable of interacting with ionic, soft-matter memristors. These memristors are proven to exhibit short-term plasticity, especially paired-pulse facilitation and depression found in presynaptic terminals - features that are not found in state-of-the-art solid-state memristors. We make use of these features for applications in online learning by developing a synapse-neuron circuit which implements spike-rate-dependent plasticity (SRDP) as a learning function.

UR - http://www.scopus.com/inward/record.url?scp=85060867437&partnerID=8YFLogxK

U2 - 10.1109/BIOCAS.2018.8584668

DO - 10.1109/BIOCAS.2018.8584668

M3 - Conference contribution

AN - SCOPUS:85060867437

T3 - 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings

BT - 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018

Y2 - 17 October 2018 through 19 October 2018

ER -

Weiss R, Najem JS, Hasan MS, Schuman CD, Belianinov A, Patrick Collier C et al. A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems. In 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8584668. (2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings). doi: 10.1109/BIOCAS.2018.8584668

A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems

Abstract

Publication series

Conference

Funding

Access to Document

Other files and links

Fingerprint

Cite this