{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:02:04Z","timestamp":1750309324285,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T00:00:00Z","timestamp":1722556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,8,2]]},"DOI":"10.1145\/3696271.3696279","type":"proceedings-article","created":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T10:47:56Z","timestamp":1733136476000},"page":"46-51","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Applying the Forward-Forward Algorithm to Event-Based Sensing"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-7684-4763","authenticated-orcid":false,"given":"Suleyman Emir","family":"Akin","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Ankara, Turkey"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9674-938X","authenticated-orcid":false,"given":"Toygar","family":"Akgun","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Ankara, Turkey"}]}],"member":"320","published-online":{"date-parts":[[2024,12,2]]},"reference":[{"key":"e_1_3_3_1_1_2","unstructured":"G. Hinton. 2022. The forward-forward algorithm: Some preliminary investigations. arxiv:2212.13345. Retrieved from https:\/\/arxiv.org\/abs\/2212.13345"},{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3008413"},{"key":"e_1_3_3_1_4_2","unstructured":"SONY-EVS. 2023. Event-based Vision Sensor (EVS) Technology https:\/\/www.sony-semicon.com\/en\/technology\/industry\/evs.html"},{"key":"e_1_3_3_1_5_2","unstructured":"SONY-Product. 2023. Event-based Vision Sensor (EVS) Products https:\/\/www.sony-semicon.com\/en\/products\/is\/industry\/evs.html"},{"key":"e_1_3_3_1_6_2","unstructured":"C. Ju A. Bibaut M. J. van der Laan. 2017. The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification. arxiv:1704.01664. Retrieved from https:\/\/arxiv.org\/abs\/1704.01664"},{"key":"e_1_3_3_1_7_2","unstructured":"K. Banerjee V. Prasad R. Gupta K. Vyas A. H B. Mishra. 2020. Exploring Alternatives to Softmax Function. arxiv:2011.11538. Retrieved from https:\/\/arxiv.org\/abs\/2011.11538"},{"volume-title":"Proceedings of the Annual Meeting of the Cognitive Science Society, 44","author":"Snow M. A.","key":"e_1_3_3_1_8_2","unstructured":"M. A. Snow, and J. Orchard. 2022. Biological Softmax: Demonstrated in Modern Hopfield Networks. Proceedings of the Annual Meeting of the Cognitive Science Society, 44."},{"key":"e_1_3_3_1_9_2","unstructured":"S. Gandhi R. Gala J. Kornberg and A. Sridhar. 2023. Extending the Forward Forward Algorithm. arxiv:2307.04205. Retrieved from https:\/\/arxiv.org\/abs\/2307.04205"},{"key":"e_1_3_3_1_10_2","unstructured":"A. G. Baydin B. A. Pearlmutter D. Syme F. Wood and P. Torr. 2022. Gradients without Backpropagation. arXiv:2202.08587. Retrieved from https:\/\/arxiv.org\/abs\/2202.08587"},{"key":"e_1_3_3_1_11_2","unstructured":"G. Dellaferrera and G. Kreiman. 2022. Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass. arxiv:2212.13345. Retrieved from https:\/\/arxiv.org\/abs\/2201.11665"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"T. Lillicrap D. Cownden D. Tweed and C. Akerman. 2016. Synaptic feedback weights support error backpropagation for deep learning. Nature Communications 7","DOI":"10.1038\/ncomms13276"},{"key":"e_1_3_3_1_13_2","unstructured":"L. Kirsch and J. Schmidhuber. 2022. Meta Learning Backpropagation and Improving It. arXiv:2012.14905. Retrieved from https:\/\/arxiv.org\/abs\/2012.14905"},{"key":"e_1_3_3_1_14_2","volume-title":"Surfing Uncertainty: Prediction, Action, and the Embodied Mind (1st. ed.)","author":"Clark A.","year":"2015","unstructured":"A. Clark. 2015. Surfing Uncertainty: Prediction, Action, and the Embodied Mind (1st. ed.). Oxford University Press."},{"volume-title":"A Thousand Brains: A New Theory of Intelligence","author":"Hawkins J.","key":"e_1_3_3_1_15_2","unstructured":"J. Hawkins. 2021. A Thousand Brains: A New Theory of Intelligence. Basic Books."},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"H. V. Helmholtz. 1924. Treatise on physiological optics 3 vols.","DOI":"10.1037\/13536-000"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"R. P. Rao. and D. H. Ballard. 1999. Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. Nature neuroscience 2 1.","DOI":"10.1038\/4580"},{"key":"e_1_3_3_1_18_2","unstructured":"A. Ororbia and A. Mali. 2023. The predictive forward-forward algorithm. arxiv:2301.01452. Retrieved from https:\/\/arxiv.org\/abs\/2301.01452"},{"key":"e_1_3_3_1_19_2","unstructured":"Tonic Project. URL: https:\/\/tonic.readthedocs.io\/en\/latest\/"},{"volume-title":"Proceedings of the 26th Annual International Conference on Machine Learning. Pages 41-48","author":"Bengio Y.","key":"e_1_3_3_1_20_2","unstructured":"Y. Bengio, J. Louradour, R. Collobert, and J. Weston. 2009. Curriculum learning. Proceedings of the 26th Annual International Conference on Machine Learning. Pages 41-48."},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"A. Z. Zhu L. Yuan K. Chaney and K. Daniilidis. 2019. Unsupervised Event-based Learning of Optical Flow Depth and Egomotion. CVPR.","DOI":"10.1109\/CVPR.2019.00108"}],"event":{"name":"MLMI 2024: 2024 The 7th International Conference on Machine Learning and Machine Intelligence (MLMI)","acronym":"MLMI 2024","location":"Osaka Japan"},"container-title":["Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696271.3696279","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696271.3696279","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:04:00Z","timestamp":1750291440000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696271.3696279"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,2]]},"references-count":21,"alternative-id":["10.1145\/3696271.3696279","10.1145\/3696271"],"URL":"https:\/\/doi.org\/10.1145\/3696271.3696279","relation":{},"subject":[],"published":{"date-parts":[[2024,8,2]]},"assertion":[{"value":"2024-12-02","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}