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rippl-IA

Published on by Liset M de la Prida
This dataset contains everything to reproduce the main figures of Navas-Olive, Rubio, et al. 2023.


In this work, the Prida Lab have developed rippl-AI, an open toolbox of Artifical Intelligence (AI) resources for detection of hippocampal neurophysiological signals, in particular sharp-wave ripples (SWR). This toolbox offers multiple successful plug-and-play machine learning (ML) models from 5 different architectures (1D-CNN, 2D-CNN, LSTM, SVM and XGBoost) that are ready to use to detect SWRs in hippocampal recordings. Moreover, there is an additional package that allows easy re-training, so that models are updated to better detect particular features of your own recordings. 


See our rippl-AI github for more details!


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Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)
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Academic Psychiatry
Academic Questions
Academy of Management Discoveries
Academy of Management Journal
Academy of Management Learning and Education
Academy of Management Perspectives
Academy of Management Proceedings
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Funding

Fundación La Caixa (LCF/PR/HR21/52410030 and LCF/PR/HR22/52420005)

Whitehall Foundation and BRAIN Initiative NINDS (R01NS127128)

Spanish Ministry of Education (FPU17/03268)

AI-HUB CSIC program (JAE Intro AI HUB21)

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