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  1.  10
    Is There a Geometric Module for Spatial Orientation? Insights From a Rodent Navigation Model.Denis Sheynikhovich, Ricardo Chavarriaga, Thomas Strösslin, Angelo Arleo & Wulfram Gerstner - 2009 - Psychological Review 116 (3):540-566.
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  2.  4
    Decoding of Self-Paced Lower-Limb Movement Intention: A Case Study on the Influence Factors.Dong Liu, Weihai Chen, Ricardo Chavarriaga, Zhongcai Pei & José del R. Millán - 2017 - Frontiers in Human Neuroscience 11.
  3.  10
    The Claire Covid-19 Initiative: Approach, Experiences and Recommendations.Gianluca Bontempi, Ricardo Chavarriaga, Hans eD Canck, Emanuela Girardi, Holger Hoos, Iarla Kilbane-Dawe, Tonio Ball, Ann Nowé, Jose Sousa, Davide Bacciu, Marco Aldinucci, Manlio eD Domenico, Alessandro Saffiotti & Marco Maratea - 2021 - Ethics and Information Technology 23 (S1):127-133.
    A volunteer effort by Artificial Intelligence researchers has shown it can deliver significant research outcomes rapidly to help tackle COVID-19. Within two months, CLAIRE’s self-organising volunteers delivered the World’s first comprehensive curated repository of COVID-19-related datasets useful for drug-repurposing, drafted review papers on the role CT/x-ray scan analysis and robotics could play, and progressed research in other areas. Given the pace required and nature of voluntary efforts, the teams faced a number of challenges. These offer insights in how better to (...)
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    Towards a Governance Framework for Brain Data.Marcello Ienca, Joseph J. Fins, Ralf J. Jox, Fabrice Jotterand, Silja Voeneky, Roberto Andorno, Tonio Ball, Claude Castelluccia, Ricardo Chavarriaga, Hervé Chneiweiss, Agata Ferretti, Orsolya Friedrich, Samia Hurst, Grischa Merkel, Fruzsina Molnár-Gábor, Jean-Marc Rickli, James Scheibner, Effy Vayena, Rafael Yuste & Philipp Kellmeyer - 2022 - Neuroethics 15 (2):1-14.
    The increasing availability of brain data within and outside the biomedical field, combined with the application of artificial intelligence to brain data analysis, poses a challenge for ethics and governance. We identify distinctive ethical implications of brain data acquisition and processing, and outline a multi-level governance framework. This framework is aimed at maximizing the benefits of facilitated brain data collection and further processing for science and medicine whilst minimizing risks and preventing harmful use. The framework consists of four primary areas (...)
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    Symbiotic Brain-Machine Interaction: Beyond Control and Monitoring.Ricardo Chavarriaga - 2018 - Frontiers in Human Neuroscience 12.