A Perspective on Neuroscience Data Standardization with Neurodata Without Borders [PDF]
Journal of NeuroscienceNeuroscience research has evolved to generate increasingly large and complex experimental data sets, and advanced data science tools are taking on central roles in neuroscience research. Neurodata Without Borders (NWB), a standard language for neurophysiology data, has recently emerged as a powerful solution for data management, analysis, and sharing ...
Jonah Pearl +2 more
exaly +6 more sources
Dataset of human-single neuron activity during a Sternberg working memory task [PDF]
Scientific DataWe present a dataset of 1809 single neurons recorded from the human medial temporal lobe (amygdala and hippocampus) and medial frontal lobe (anterior cingulate cortex, pre-supplementary motor area, ventral medial prefrontal cortex) across 41 sessions ...
Michael Kyzar +6 more
doaj +2 more sources
Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse [PDF]
Frontiers in Big Data, 2023 Paschal Ochang +3 more
doaj +2 more sources
Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis. [PDF]
PLoS Computational BiologyAdvancements in calcium indicators and optical techniques have made optical neural recording common in neuroscience. As data volumes grow, streamlining the analysis pipelines for image preprocessing, signal extraction, and subsequent neural activity ...
Yukako Yamane +6 more
doaj +2 more sources
Multimodal dataset linking wide‐field calcium imaging to behavior changes in operant lever‐pull task in mice [PDF]
Scientific DataThe link between comprehensive behavioral measurements during a behavioral task and brain-wide neuronal activity is an essential strategy to better understand the brain dynamics underlying the emergence of behavior changes.
Masashi Kondo +7 more
doaj +2 more sources
The Neurodata Without Borders ecosystem for neurophysiological data science [PDF]
, 2021 Abstract The neurophysiology of cells and tissues are monitored electrophysiologically and optically in diverse experiments and species, ranging from flies to humans. Understanding the brain requires integration of data across this diversity, and thus these data must be findable, accessible, interoperable, and reusable (FAIR).
Oliver Rübel +9 more
openaire +1 more source
Frontiers in Big Data, 2023 IntroductionThe study of the brain continues to generate substantial volumes of data, commonly referred to as “big brain data,” which serves various purposes such as the treatment of brain-related diseases, the development of neurotechnological devices ...
Paschal Ochang +3 more
doaj +1 more source
Neuroprediction and A.I. in Forensic Psychiatry and Criminal Justice: A Neurolaw Perspective [PDF]
, 2020 Advances in the use of neuroimaging in combination with A.I., and specifically the use of machine learning techniques, have led to the development of brain-reading technologies which, in the nearby future, could have many applications, such as lie ...
Bijlsma, J. +4 more
core +2 more sources
NeuroImage: Reports, 2021 For a number of years, facial features removal techniques such as ‘defacing’, ‘skull stripping’ and ‘face masking/blurring’, were considered adequate privacy preserving tools to openly share brain images.
Damian Eke +12 more
doaj +1 more source
Standardizing human brain parcellations
Scientific Data, 2021 Using brain atlases to localize regions of interest is a requirement for making neuroscientifically valid statistical inferences. These atlases, represented in volumetric or surface coordinate spaces, can describe brain topology from a variety of ...
Ross M. Lawrence +9 more
doaj +1 more source