Institute of Electrical and Electronics Engineers (IEEE)

IEEE Transactions on Biomedical Circuits and Systems

, volume 10 , issue 1 , pages 243-254

A Biological-Realtime Neuromorphic System in 28 nm CMOS Using Low-Leakage Switched Capacitor Circuits

Christian Mayr ¹

Johannes Partzsch ²

Marko Noack ²

Stefan Hänzsche ²

Stefan Scholze ²

Sebastian Höppner ²

Georg Ellguth ²

René Schüffny ²

Hide authors affiliations Show authors affiliations: 2 affiliations

Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland

ETH Zurich

University of Zurich

Endowed Chair of Highly Parallel VLSI Systems and Neuromorphic Circuits, Technische Universität Dresden, Dresden, Germany |

Publication type: Journal Article

Publication date: 2016-02-01

Institute of Electrical and Electronics Engineers (IEEE)

IEEE Transactions on Biomedical Circuits and Systems

scimago Q1

wos Q1

SJR: 1.327

CiteScore: 9.2

Impact factor: 4.9

ISSN: 19324545, 19409990

DOI: 10.1109/tbcas.2014.2379294

Copy DOI

PubMed ID: 25680215

Electrical and Electronic Engineering

Biomedical Engineering

Abstract

A switched-capacitor (SC) neuromorphic system for closed-loop neural coupling in 28 nm CMOS is presented, occupying 600 um by 600 um. It offers 128 input channels (i.e., presynaptic terminals), 8192 synapses and 64 output channels (i.e., neurons). Biologically realistic neuron and synapse dynamics are achieved via a faithful translation of the behavioural equations to SC circuits. As leakage currents significantly affect circuit behaviour at this technology node, dedicated compensation techniques are employed to achieve biological-realtime operation, with faithful reproduction of time constants of several 100 ms at room temperature. Power draw of the overall system is 1.9 mW.

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GOST |

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GOST Copy

Mayr C. et al. A Biological-Realtime Neuromorphic System in 28 nm CMOS Using Low-Leakage Switched Capacitor Circuits // IEEE Transactions on Biomedical Circuits and Systems. 2016. Vol. 10. No. 1. pp. 243-254.

GOST all authors (up to 50) Copy

Mayr C., Partzsch J., Noack M., Hänzsche S., Scholze S., Höppner S., Ellguth G., Schüffny R. A Biological-Realtime Neuromorphic System in 28 nm CMOS Using Low-Leakage Switched Capacitor Circuits // IEEE Transactions on Biomedical Circuits and Systems. 2016. Vol. 10. No. 1. pp. 243-254.

RIS |

Cite this

RIS Copy

TY - JOUR

DO - 10.1109/tbcas.2014.2379294

UR - https://doi.org/10.1109/tbcas.2014.2379294

TI - A Biological-Realtime Neuromorphic System in 28 nm CMOS Using Low-Leakage Switched Capacitor Circuits

T2 - IEEE Transactions on Biomedical Circuits and Systems

AU - Mayr, Christian

AU - Partzsch, Johannes

AU - Noack, Marko

AU - Hänzsche, Stefan

AU - Scholze, Stefan

AU - Höppner, Sebastian

AU - Ellguth, Georg

AU - Schüffny, René

PY - 2016

DA - 2016/02/01

PB - Institute of Electrical and Electronics Engineers (IEEE)

SP - 243-254

IS - 1

VL - 10

PMID - 25680215

SN - 1932-4545

SN - 1940-9990

ER -

BibTex |

Cite this

BibTex (up to 50 authors) Copy

@article{2016_Mayr,

author = {Christian Mayr and Johannes Partzsch and Marko Noack and Stefan Hänzsche and Stefan Scholze and Sebastian Höppner and Georg Ellguth and René Schüffny},

title = {A Biological-Realtime Neuromorphic System in 28 nm CMOS Using Low-Leakage Switched Capacitor Circuits},

journal = {IEEE Transactions on Biomedical Circuits and Systems},

year = {2016},

volume = {10},

publisher = {Institute of Electrical and Electronics Engineers (IEEE)},

month = {feb},

url = {https://doi.org/10.1109/tbcas.2014.2379294},

number = {1},

pages = {243--254},

doi = {10.1109/tbcas.2014.2379294}

}

MLA

Cite this

MLA Copy

Mayr, Christian, et al. “A Biological-Realtime Neuromorphic System in 28 nm CMOS Using Low-Leakage Switched Capacitor Circuits.” IEEE Transactions on Biomedical Circuits and Systems, vol. 10, no. 1, Feb. 2016, pp. 243-254. https://doi.org/10.1109/tbcas.2014.2379294.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Journal

IEEE Transactions on Biomedical Circuits and Systems

scimago Q1

wos Q1

SJR

1.327

CiteScore

9.2

Impact factor

4.9

ISSN

19324545 (Print)

19409990 (Electronic)