Cited 4 times since 2025 (7.8 per year) source: EuropePMC Nature communications, Volume 16, Issue 1, 11 2 2025, Pages 1545 The neurobench framework for benchmarking neuromorphic computing algorithms and systems. Yik J, Van den Berghe K, den Blanken D, Bouhadjar Y, Fabre M, Hueber P, Ke W, Khoei MA, Kleyko D, Pacik-Nelson N, Pierro A, Stratmann P, Sun PV, Tang G, Wang S, Zhou B, Ahmed SH, Vathakkattil Joseph G, Leto B, Micheli A, Mishra AK, Lenz G, Sun T, Ahmed Z, Akl M, Anderson B, Andreou AG, Bartolozzi C, Basu A, Bogdan P, Bohte S, Buckley S, Cauwenberghs G, Chicca E, Corradi F, de Croon G, Danielescu A, Daram A, Davies M, Demirag Y, Eshraghian J, Fischer T, Forest J, Fra V, Furber S, Furlong PM, Gilpin W, Gilra A, Gonzalez HA, Indiveri G, Joshi S, Karia V, Khacef L, Knight JC, Kriener L, Kubendran R, Kudithipudi D, Liu SC, Liu YH, Ma H, Manohar R, Margarit-Taulé JM, Mayr C, Michmizos K, Muir DR, Neftci E, Nowotny T, Ottati F, Ozcelikkale A, Panda P, Park J, Payvand M, Pehle C, Petrovici MA, Posch C, Renner A, Sandamirskaya Y, Schaefer CJS, van Schaik A, Schemmel J, Schmidgall S, Schuman C, Seo JS, Sheik S, Shrestha SB, Sifalakis M, Sironi A, Stewart K, Stewart M, Stewart TC, Timcheck J, Tömen N, Urgese G, Verhelst
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 ).
