Results 81 to 90 of about 1,446 (155)
Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse
Neuroscience data are highly fragmented across labs, formats, and experimental paradigms, and reuse often requires substantial manual effort. A persistent roadblock to data reuse and integration is the need to decipher bespoke and diverse data formatting choices.
Zhang, Ling-Qi, Branson, Kristin
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HSNPipeline: A processing pipeline for human single-neuron studies
Aperture NeuroEfficient and effective use and re-use of data requires productive tools and approaches for curating, organizing, processing, and sharing datasets, all of which needs to be appropriately designed for the specifics of the data under study.
Thomas Donoghue +4 more
doaj +1 more source
CoRRThe construction of large-scale, high-quality datasets is a fundamental prerequisite for developing robust and generalizable foundation models in motor imagery (MI)-based brain-computer interfaces (BCIs). However, EEG signals collected from different subjects and devices are often plagued by low signal-to-noise ratio, heterogeneity in electrode ...
Dingkun Liu, Zhu Chen, Dongrui Wu
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Design and implementation of a high-performance storage and indexing system for neurodata with semantic search [PDF]
Рассмотрен процесс проектирования и реализации авысокопроизводительной системы хранения и индексации нейроданных, обеспечивающей масштабируемость, низкую задержку при операциях чтения/записи и эффективный семантический поиск по векторным представлениям.
Иванченко, Н. С. +2 more
core +1 more source
, 2022 This is the meeting report from the initial meeting of the Neurodata Without Borders project held at HHMI's Janelia Farm after the Society for Neuroscience (SfN) meeting in 2014. It was originally published as a blog post on the INCF webpage (incf.org). The author is Shreejoy Tripathy (ORCID:0000-0002-1007-9061).
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, 2019 A talk presented by Dr. Bratislav Misic at the NeuroData Science Course, during the first week of the Montreal Brainhack School 2019.
Bratislav Mišić (287767)
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, 2019 The purpose of this document is to solicit community feedback on the Neurodata Without Borders: Neurophysiology (NWB:N) 2.0, a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data.
Martone, Maryann +9 more
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Abstract Passive brain-computer interfaces (P-BCIs) offer the ability to dynamically adapt system interactions by inferring users’ cognitive states, such as levels of mental workload, from neural data. The P-BCI devices have many applications from analyzing and designing educational materials to monitoring the mental health of professionals ...
Rahul Katinni +2 more
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neurodata/graspy: GraSPy 0.0.3
, 2019 Highlights <p>This release is the result of over 2 months of work with over 16 pull requests by 4 contributors. Highlights include:</p> <ul> <li>Optimization over covariance structures when using <code>GaussianCluster< ...
Ronan Perry +7 more
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