IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-56739-4.html
   My bibliography  Save this article

The neurobench framework for benchmarking neuromorphic computing algorithms and systems

Author

Listed:
  • Jason Yik

    (Harvard University)

  • Korneel Berghe

    (Harvard University
    Delft University of Technology)

  • Douwe Blanken

    (Delft University of Technology)

  • Younes Bouhadjar

    (Forschungszentrum Jülich)

  • Maxime Fabre

    (University of Groningen)

  • Paul Hueber

    (Delft University of Technology
    imec)

  • Weijie Ke

    (SynSense)

  • Mina A. Khoei

    (SynSense)

  • Denis Kleyko

    (Örebro University
    Research Institutes of Sweden)

  • Noah Pacik-Nelson

    (Accenture Labs)

  • Alessandro Pierro

    (Intel Labs)

  • Philipp Stratmann

    (Intel Labs)

  • Pao-Sheng Vincent Sun

    (City University of Hong Kong)

  • Guangzhi Tang

    (imec)

  • Shenqi Wang

    (imec
    Eindhoven University of Technology)

  • Biyan Zhou

    (City University of Hong Kong)

  • Soikat Hasan Ahmed

    (Forschungszentrum Jülich)

  • George Vathakkattil Joseph

    (Innatera Nanosystems B.V.)

  • Benedetto Leto

    (Politecnico di Torino)

  • Aurora Micheli

    (Delft University of Technology)

  • Anurag Kumar Mishra

    (Forschungszentrum Jülich)

  • Gregor Lenz

    (NeuroBus)

  • Tao Sun

    (Centrum Wiskunde & Informatica)

  • Zergham Ahmed

    (Harvard University)

  • Mahmoud Akl

    (SpiNNcloud Systems GmbH)

  • Brian Anderson

    (Intel Labs)

  • Andreas G. Andreou

    (Johns Hopkins University)

  • Chiara Bartolozzi

    (Istituto Italiano di Tecnologia)

  • Arindam Basu

    (City University of Hong Kong)

  • Petrut Bogdan

    (Innatera Nanosystems B.V.)

  • Sander Bohte

    (Centrum Wiskunde & Informatica)

  • Sonia Buckley

    (National Institute of Standards and Technology)

  • Gert Cauwenberghs

    (UCSD)

  • Elisabetta Chicca

    (University of Groningen)

  • Federico Corradi

    (Eindhoven University of Technology)

  • Guido Croon

    (Delft University of Technology)

  • Andreea Danielescu

    (Accenture Labs)

  • Anurag Daram

    (UTSA)

  • Mike Davies

    (Intel Labs)

  • Yigit Demirag

    (University of Zurich
    ETH Zurich
    Google)

  • Jason Eshraghian

    (UCSC)

  • Tobias Fischer

    (Queensland University of Technology)

  • Jeremy Forest

    (Cornell University)

  • Vittorio Fra

    (Politecnico di Torino)

  • Steve Furber

    (University of Manchester)

  • P. Michael Furlong

    (U Waterloo)

  • William Gilpin

    (University of Texas at Austin
    Medici Therapeutics)

  • Aditya Gilra

    (Centrum Wiskunde & Informatica)

  • Hector A. Gonzalez

    (SpiNNcloud Systems GmbH)

  • Giacomo Indiveri

    (University of Zurich
    ETH Zurich)

  • Siddharth Joshi

    (University of Notre Dame)

  • Vedant Karia

    (UTSA)

  • Lyes Khacef

    (Sony Semiconductor Solutions Europe
    Sony Europe B.V.)

  • James C. Knight

    (University of Sussex)

  • Laura Kriener

    (University of Zurich
    ETH Zurich
    University of Bern)

  • Rajkumar Kubendran

    (University of Pittsburgh)

  • Dhireesha Kudithipudi

    (UTSA)

  • Shih-Chii Liu

    (University of Zurich
    ETH Zurich)

  • Yao-Hong Liu

    (imec)

  • Haoyuan Ma

    (CentraleSupélec)

  • Rajit Manohar

    (Yale University)

  • Josep Maria Margarit-Taulé

    (Instituto de Microelectrónica de Barcelona)

  • Christian Mayr

    (Technische Universität Dresden
    ScaDS.AI Dresden/Leipzig)

  • Konstantinos Michmizos

    (Rutgers University)

  • Dylan R. Muir

    (SynSense)

  • Emre Neftci

    (Forschungszentrum Jülich
    RWTH Aachen)

  • Thomas Nowotny

    (University of Sussex)

  • Fabrizio Ottati

    (Politecnico di Torino)

  • Ayca Ozcelikkale

    (Uppsala University)

  • Priyadarshini Panda

    (Yale University)

  • Jongkil Park

    (Korea Institute of Science and Technology)

  • Melika Payvand

    (University of Zurich
    ETH Zurich)

  • Christian Pehle

    (Heidelberg University)

  • Mihai A. Petrovici

    (University of Bern)

  • Christoph Posch

    (Prophesee)

  • Alpha Renner

    (Forschungszentrum Jülich)

  • Yulia Sandamirskaya

    (Intel Labs
    ZHAW)

  • Clemens J. S. Schaefer

    (University of Notre Dame)

  • André Schaik

    (Western Sydney University)

  • Johannes Schemmel

    (Heidelberg University)

  • Samuel Schmidgall

    (Johns Hopkins University)

  • Catherine Schuman

    (University of Tennessee)

  • Jae-sun Seo

    (Cornell Tech)

  • Sadique Sheik

    (SynSense)

  • Sumit Bam Shrestha

    (Intel Labs)

  • Manolis Sifalakis

    (imec)

  • Amos Sironi

    (Prophesee)

  • Kenneth Stewart

    (Forschungszentrum Jülich
    UCI)

  • Matthew Stewart

    (Harvard University)

  • Terrence C. Stewart

    (National Research Council Canada)

  • Jonathan Timcheck

    (Intel Labs)

  • Nergis Tömen

    (Delft University of Technology)

  • Gianvito Urgese

    (Politecnico di Torino)

  • Marian Verhelst

    (imec
    KU Leuven)

  • Craig M. Vineyard

    (Sandia National Laboratories)

  • Bernhard Vogginger

    (Technische Universität Dresden)

  • Amirreza Yousefzadeh

    (imec)

  • Fatima Tuz Zohora

    (UTSA)

  • Charlotte Frenkel

    (Delft University of Technology)

  • Vijay Janapa Reddi

    (Harvard University)

Abstract

Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks standardized benchmarks, making it difficult to accurately measure technological advancements, compare performance with conventional methods, and identify promising future research directions. This article presents NeuroBench, a benchmark framework for neuromorphic algorithms and systems, which is collaboratively designed from an open community of researchers across industry and academia. NeuroBench introduces a common set of tools and systematic methodology for inclusive benchmark measurement, delivering an objective reference framework for quantifying neuromorphic approaches in both hardware-independent and hardware-dependent settings. For latest project updates, visit the project website ( neurobench.ai ).

Suggested Citation

  • Jason Yik & Korneel Berghe & Douwe Blanken & Younes Bouhadjar & Maxime Fabre & Paul Hueber & Weijie Ke & Mina A. Khoei & Denis Kleyko & Noah Pacik-Nelson & Alessandro Pierro & Philipp Stratmann & Pao-, 2025. "The neurobench framework for benchmarking neuromorphic computing algorithms and systems," Nature Communications, Nature, vol. 16(1), pages 1-24, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56739-4
    DOI: 10.1038/s41467-025-56739-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-56739-4
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-025-56739-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56739-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.