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Advocating for Neurodata Privacy and Neurotechnology Regulation
Nature Protocols, 2023The ability to record and alter brain activity by using implantable and nonimplantable neural devices, while poised to have significant scientific and clinical benefits, also raises complex ethical concerns. In this Perspective, we raise awareness of the ability of artificial intelligence algorithms and data-aggregation tools to decode and analyze data
Rafael Yuste
exaly +3 more sources
Core Principles for the Implementation of the Neurodata Without Borders Data Standard
Journal of Neuroscience Methods, 2021The Neurodata Without Borders data standard (NWB) unifies diverse modalities of neurophysiology data in a single format. Integrating NWB with a database unleashes its full potential to promote collaboration, standardize analyses, capitalize on historical data, and ensures data integrity by maintaining process transparency.
Stephen G. Waxman +2 more
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Neurodata Lab’s Approach to the Challenge on Computer Vision for Physiological Measurement
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020This paper introduces the Neurodata Lab's approach presented at the 1st Challenge on Remote Physiological Signal Sensing (RePSS) organized within CVPR2020. The RePSS challenge was focused on measuring the average heart rate from color facial videos, which is one of the most fundamental problems in the field of computer vision.
Mikhail Artemyev +3 more
exaly +3 more sources
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), 2021
Adaptive Deep Brain Stimulation has recently emerged to tackle conventional DBS limitations by measuring disease fluctuations and to adapt stimulation parameter accordingly. In early 2020, Medtronic launched in the European Union the first certified DBS neurostimulator capable of simultaneously stimulate and read signals from the deep brain structures,
MCarmo VB Olazabal, João Paulo Cunha
exaly +3 more sources
Adaptive Deep Brain Stimulation has recently emerged to tackle conventional DBS limitations by measuring disease fluctuations and to adapt stimulation parameter accordingly. In early 2020, Medtronic launched in the European Union the first certified DBS neurostimulator capable of simultaneously stimulate and read signals from the deep brain structures,
MCarmo VB Olazabal, João Paulo Cunha
exaly +3 more sources
Leveraging Neurodata to Support Web User Behavior Analysis
2016Given its complexity, understanding the behavior of users on the Web has been one of the most challenging tasks for data mining-related fields. Historically, most of the approaches have considered web logs as the main source of data. This has led to several successful cases, both in industry and academia, but has also presented several issues and ...
Pedro E Maldonado +2 more
exaly +2 more sources
Artificial Intelligence, Neurodata, and Society
This book explores how AI systems trained on neurodata are redrawingthe boundaries of dignity, autonomy, and legal personhood. It reveals the emerging reality of NeuroAI: a world where machinelearning models anticipate our thoughts before we have even formed them.exaly +2 more sources
From Bits to Thoughts: Classification of Neurodata in the Context of Personal Data Protection
LEGAL ORDER History Theory PracticeIn the context of the rapid development of neurotechnologies and the creation of Brain-Computer Interfaces (BCIs), new challenges arise related to the regulation of public relations. Brain-computer interfaces establish a direct connection between the human brain and external devices and have significant potential for use in medicine, education, and ...
exaly +2 more sources