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Neurodata Without Borders: Creating a Common Data Format for Neurophysiology [PDF]
Neuron, 2015 The Neurodata Without Borders (NWB) initiative promotes data standardization in neuroscience to increase research reproducibility and opportunities. In the first NWB pilot project, neurophysiologists and software developers produced a common data format for recordings and metadata of cellular electrophysiology and optical imaging experiments.
Hiroki Asari, Simon Peron, Nuo Li
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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,
Maria do Carmo Vilas-Boas
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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,
Maria do Carmo Vilas-Boas
exaly +2 more sources
NeuroWRAP: integrating, validating, and sharing neurodata analysis workflows
2022AbstractMultiphoton calcium imaging is one of the most powerful tools in modern neuroscience. However, multiphoton data require significant pre-processing of images and post-processing of extracted signals. As a result, many algorithms and pipelines have been developed for the analysis of multiphoton data, particularly two-photon imaging data.
Zac Bowen +5 more
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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 ...
Pablo Loyola +2 more
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Latin American Journal European Studies, 2023
The commercialization of technologies that interface with the human brain has caught attention of the international community, as they allow the collection of data from dimensions that, until now, were considered unobservable by the general public: brain activity data, commonly referred to as "neurodata".
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The commercialization of technologies that interface with the human brain has caught attention of the international community, as they allow the collection of data from dimensions that, until now, were considered unobservable by the general public: brain activity data, commonly referred to as "neurodata".
exaly +2 more sources
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 +2 more sources
Neurodata-Driven Interior Design: Towards Environments That Promote Mental Health and Creativity
Journal of Design Sciences and Applied Artsexaly +2 more sources
International Journal of Ethics and Systems
Purpose This study aims to demonstrate the importance of recognizing stress in the workplace. Accurate novel objective methods that use electroencephalogram (EEG) to measure brainwaves can promote employee well-being.
exaly +2 more sources
Purpose This study aims to demonstrate the importance of recognizing stress in the workplace. Accurate novel objective methods that use electroencephalogram (EEG) to measure brainwaves can promote employee well-being.
exaly +2 more sources
Brain Data Dream Generator An AI-Powered Multimodal Neurodata Visualization and Report System
This paper introduces the Brain Data Dream Generator, a novel AI-driven system designed to transform complex multimodal neuroscience datasets into immersive, dream-like visualizations and comprehensive reports. By integrating data from MRI, EEG, iEEG/ECoG, Neuropixels, single-cell RNA sequencing (scRNA-seq), connectomics, audio inputs, and textual ...openaire +1 more source
Extending Neurodata Without Borders: Neurophysiology for Electrocorticography
2019Dichter, Benjamin K. +9 more
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