Results 51 to 60 of about 1,852 (128)
NeuroData & The Open Connectome Project: Enabling Big Data Neuroscience at Scale
, 2015 Final poster presented at SfN ...
NeuroData, Vogelstein, Joshua
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, 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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Semantic Federation of Distributed Neurodata
, 2012 Neurodata repositories federation is increasingly needed to implement multi-centric studies. Data federation is difficult due to the heterogeneous nature of distributed data repositories and the technical difficulties faced in addressing simultaneously multiple data sources.
Gaignard, Alban +3 more
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Discriminating Between Syntactic and Semantic Processing: Evidence from Event-related Potentials [PDF]
, 1995 By measuring the event-related brain potentials (ERPs) elicited during a visual word-by-word presentation of sentences containing either a syntactic incongruity, semantic incongruity, or a combined syntactic and semantic incongruity, I investigated ...
Darnell, Kim
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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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Discharge properties of identified cochlear nucleus neurons and auditory nerve fibers in response to repetitive electrical stimulation of the auditory nerve [PDF]
, 2018 Using the in vitro isolated whole brain preparation of the guinea pig maintained at 29°C, we intracellularly recorded and stained cochlear nucleus (CN) neurons and auditory nerve (AN) fibers.
Babalian, Alexander +2 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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Sparse Projection Oblique Randomer Forests
, 2019 Decision forests, including Random Forests and Gradient Boosting Trees, have recently demonstrated state-of-the-art performance in a variety of machine learning settings.
Browne, James +10 more
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New Concerns for Neurocognitive Function during Deep Space Exposures to Chronic, Low Dose-Rate, Neutron Radiation. [PDF]
, 2019 As NASA prepares for a mission to Mars, concerns regarding the health risks associated with deep space radiation exposure have emerged. Until now, the impacts of such exposures have only been studied in animals after acute exposures, using dose rates ∼1 ...
Acharya, Munjal M +16 more
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The 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 ...
Liu, Dingkun, Chen, Zhu, Wu, Dongrui
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