Open access dataset on macaque brains released — ScienceDaily
Researchers from the Netherlands Institute for Neuroscience (NIN) have published a set of data recorded from the visual cortex of resting monkeys. The dataset can be shared with other researchers for analysis, used as educational material, and/or serve as a template for future publications of large electrophysiology datasets, so fewer monkeys are needed for research. The dataset was collected at NIN and prepared for publication by NIN and collaborators from Juelich University and Aachen University (Germany).
The dataset consists of electrophysiology data that was recorded from the visual cortex (V1 and V4) of two monkeys, from 1024 recording sites simultaneously during the resting state, and it also includes supporting datasets obtained while monkeys performed visual tasks. The data provides a picture of neural activity in large regions of the visual cortex at unprecedented spatial and temporal resolution, with high-density receptive field coverage. The dataset includes data in its “raw” form, to enable its widest use, as well as processed data to aid in the analysis of commonly used neural signals.
Spatially and temporally detailed image
The recordings can be used to observe brain waves in larger regions of the cortex, providing a detailed spatiotemporal picture of brain activity. ”In this article, we provide the dataset, describe the raw and processed data formats and data acquisition methods, and indicate how the data can be used to provide new insights into the activity of background “that influences the processing of visual information in our brain,” says Xing Chen, a senior researcher at NIN’s Vision and Cognition Laboratory.
Most studies have either examined resting-state activity throughout the brain using MRI – a non-invasive medical imaging technique – or by recording the activity of a small number of implanted electrodes. The Vision & Cognition Laboratory, led by Professor Pieter Roelfsema, has made recordings of over a thousand electrodes chronically implanted in the visual cortex of non-human primates, producing a resting-state dataset with high spatio-temporal resolution – very detailed and precise observation. “Part of our dataset has already been successfully used to study neural correlates of brain activity obtained by noninvasive imaging,” says Chen.
A data descriptor article accompanies the dataset. The article includes a detailed description of the scientific insights that could be obtained from the data, data formats, and data acquisition and processing methods. Included are sections on data records (describing data usage and file formats); Technical validation (to validate usability and accuracy of data); and Code Availability (describing scripts used for data collection, processing and analysis).
“This dataset allows other scientists to gain fundamental new neuroscientific insights into the underlying activity that influences visual information processing in our brains,” says Chen. The dataset has been released under a Creative Commons Open Access license for other researchers so anyone can access the data.
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Material provided by Netherlands Institute for Neuroscience – KNAW. Note: Content may be edited for style and length.