OSCR

The neurobench framework for benchmarking neuromorphic computing algorithms and systems.

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Code

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NeuroBench/neurobench

License: Apache-2.0
State: the link answers
Copies: kept by the registry: this license allows it

Zenodo 3773845

License: CC-BY-4.0
State: the link answers

Zenodo 14477064

License: Apache-2.0
State: the link answers
Tools found in the code: h5py, PyTorch Lightning, Matplotlib, NumPy, pandas, PyTorch, scikit-learn, SciPy, seaborn

Overview

Authors: Jason Yik, Korneel Van den Berghe, Douwe den Blanken, Younes Bouhadjar, Maxime Fabre, Paul Hueber, Weijie Ke, Mina A Khoei, Denis Kleyko, Noah Pacik-Nelson, Alessandro Pierro, Philipp Stratmann, Pao-Sheng Vincent Sun, Guangzhi Tang, Shenqi Wang, Biyan Zhou, Soikat Hasan Ahmed, George Vathakkattil Joseph, Benedetto Leto, Aurora Micheli
and 80 other authorsAnurag Kumar Mishra, Gregor Lenz, Tao Sun, Zergham Ahmed, Mahmoud Akl, Brian Anderson, Andreas G Andreou, Chiara Bartolozzi, Arindam Basu, Petrut Bogdan, Sander Bohte, Sonia Buckley, Gert Cauwenberghs, Elisabetta Chicca, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Tobias Fischer, Jeremy Forest, Vittorio Fra, Steve Furber, P Michael Furlong, William Gilpin, Aditya Gilra, Hector A Gonzalez, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Shih-Chii Liu, Yao-Hong Liu, Haoyuan Ma, Rajit Manohar, Josep Maria Margarit-Taulé, Christian Mayr, Konstantinos Michmizos, Dylan R Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayca Ozcelikkale, Priyadarshini Panda, Jongkil Park, Melika Payvand, Christian Pehle, Mihai A Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens J S Schaefer, André van Schaik, Johannes Schemmel, Samuel Schmidgall, Catherine Schuman, Jae-sun Seo, Sadique Sheik, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Matthew Stewart, Terrence C Stewart, Jonathan Timcheck, Nergis Tömen, Gianvito Urgese, Marian Verhelst, Craig M Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
Journal: Nature communications
Published: 11 February 2025
Type: Review
Status: code verified (how the code is found and verified)
DOI: 10.1038/s41467-025-56739-4
License: CC BY
Institutions: Harvard University (United States), Delft University of Technology (Netherlands), Forschungszentrum Jülich (Germany), University of Groningen (Netherlands), Imec the Netherlands (Netherlands), Örebro University (Sweden), Accenture (United States) (United States), Intel (United States) (United States), City University of Hong Kong (Hong Kong SAR China), Eindhoven University of Technology (Netherlands), Politecnico di Torino (Italy), Centrum Wiskunde & Informatica (Netherlands), Johns Hopkins University (United States), Italian Institute of Technology (Italy), National Institute of Standards and Technology (United States), University of California San Diego (United States), The University of Texas at San Antonio (United States), Google (United States) (United States), University of Zurich (Switzerland), ETH Zurich (Switzerland), University of California, Santa Cruz (United States), Queensland University of Technology (Australia), Cornell University (United States), University of Manchester (United Kingdom), University of Waterloo (Canada), The University of Texas at Austin (United States), University of Notre Dame (United States), Sony (United Kingdom) (United Kingdom), University of Sussex (United Kingdom), University of Bern (Switzerland), University of Pittsburgh (United States), CentraleSupélec (France), Yale University (United States), Institut de Microelectrònica de Barcelona (Spain), Center for Scalable Data Analytics and Artificial Intelligence (Germany), Technische Universität Dresden (Germany), Rutgers, The State University of New Jersey (United States), RWTH Aachen University (Germany), Uppsala University (Sweden), Korean Association Of Science and Technology Studies (South Korea), Korea Institute of Science and Technology (South Korea), Heidelberg University (Germany), ZHAW Zurich University of Applied Sciences (Switzerland), Western Sydney University (Australia), University of Tennessee at Knoxville (United States), Cornell Tech (United States), University of California, Irvine (United States), National Research Council Canada (Canada), KU Leuven (Belgium), Sandia National Laboratories (United States)
Categories: methods / tools (subfield)

Data

No dataset cited, and no data link found.

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Markdown
<!-- oscr-badge:start -->
[![OSCR](https://openscicode.org/badge/doi/10.1038/s41467-025-56739-4.svg)](https://openscicode.org/badge/doi/10.1038/s41467-025-56739-4)
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.. oscr-badge:start

.. image:: https://openscicode.org/badge/doi/10.1038/s41467-025-56739-4.svg
   :target: https://openscicode.org/badge/doi/10.1038/s41467-025-56739-4
   :alt: OSCR

.. oscr-badge:end
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<a href="https://openscicode.org/badge/doi/10.1038/s41467-025-56739-4"><img src="https://openscicode.org/badge/doi/10.1038/s41467-025-56739-4.svg" alt="OSCR"></a>
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