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155
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ShareScore release 0.9.0
Dataset results
155 results for “learning and memory”
Physical Unclonable In-Memory Computing for Simultaneous Protecting Private Data and Deep Learning Models
Open the record for dataset details and reuse information.
Short-term exposure to heatwave-like temperatures affects learning and memory in bumblebees
<p><span>Global warming has been identified as a key driver of bee declines around the world. While it is clear that elevated temperatures during the spring and summer months – the principal activity period of many bee species – is a factor in this decline, exactly how temperature affects bee survival is unknown. In vertebrates, there is clear evidence that elevated ambient temperatures impair cognition but whether and how heat affects the cognitive abilities of invertebrates remains unclear. Cognitive skills in bees are essential for their survival as, to supply the hive with nutrition, workers must be able to learn and remember the location of the most rewarding floral resources. Here, we investigate whether </span><span>temperature-related cognitive impairments could be a driver of bee declines by exploring the effect of short-term increases in ambient temperature on learning and memory. We found that, in comparison to bees that were tested at 25°C (a temperature that they would typically experience in summer), bees that were exposed to 32°C (a temperature that they will becoming increasingly exposed to during heatwave events) were significantly worse at forming an association between a coloured light and a sucrose reward and that their capacity to remember this association after just 1 hour was abolished. </span><span>This study provides novel experimental evidence that even just a few hours of exposure to heatwave-like temperatures can severely impair the cognitive performance of insects. Such temperature-induced cognitive deficits could play an important role in explaining recent and future bee population declines.</span></p>
Data from: Maze learning and memory in a decapod crustacean
Spatial learning is an ecologically important trait well studied in vertebrates and a few invertebrates yet poorly understood in crustaceans. We investigated the ability of European shore crabs, Carcinus maenas, to learn a complex maze over four consecutive weeks using food as a motivator. Crabs showed steady improvement during this conditioning period in both the time taken to find the food and in the number of wrong turns taken whilst doing so. Crabs also clearly remembered the maze as when placed back in the maze two weeks later and without any food, they all returned to the end of the maze in under eight minutes. Crabs that had not been conditioned to the maze (naïve animals) took far longer to reach the end and many (42 %) did not venture to the end of the maze at all during the one-hour study period. This study provides an initial description of spatial learning in a benthic decapod; a better appreciation of this adaptive trait in these animals will develop our understanding of resource exploitation by benthic crustaceans and their ecological roles.
Separation of memory span and learning rate: evidence from behavior and spontaneous brain activity in older adults
<p>The data file includes two small files. The first file is Behavioral data. The second file is fMRI data. </p>
Place learning and place memory data from DSPR RILs
<p>Learning and Memory Data for: Multiple genetic loci affect place learning and memory performance in Drosophila melanogaster. The publication describing results using these data is in Genes, Brain and Behavior and can be accessed here: https://doi.org/10.1111/gbb.12581 or at BioRxiv here: <a href="https://www.biorxiv.org/content/10.1101/580092v2">https://www.biorxiv.org/content/10.1101/580092v2</a></p> <p>LearnMemRaw.tgz contains the raw output data obtained from the heatbox. The data associated with each RIL is in a folder labeled with the RIL ID. Each group of individuals that was assayed at the same time in the heat box is contained in each file labeled with the group number.</p> <p>ProcMemLearn.tgz contains the output data following processing with HeatCalc software, which calculates the performance index for each RIL. Files are named with the RIL ID.</p> <p> </p>
Dataset associated with publication of Farnworth et al "Mosaic evolution of a learning and memory circuit in Heliconiini butterflies"
<p>Dataset associated with publication of Farnworth et al "Mosaic evolution of a learning and memory circuit in Heliconiini butterflies"</p>
Dataset: Learning efficient erasure protocols for an underdamped memory
<p>Data set for the article "Learning efficient erasure protocols for an underdamped memory", by Nicolas Barros, Stephen Whitelam, Sergio Ciliberto, and Ludovic Bellon. Available on <a href="https://arxiv.org/abs/2409.15050" target="_blank" rel="noopener">arXiv</a>.</p> <p>Inside the compressed file, you will find several folders.</p> <p>It contains:</p> <p>The pdf file of the article, as well as the movies provided in the supplementary material.</p> <p>The folder "Single Erasure" contains the data used for all the protocols attempted in a single iteration. One can find the raw data of the time traces (position z, threshold z0, and center of the well z1) inside the folders "ErasureTo0" and "Erasureto1", depending on the direction of the erasure. Snapshots of the velocities and position pdf are inside "xPDF" and "vPDF", as well as the resulting work distribution "WorkPDF..." and the final success rates "Success...." (a 0 denotes a failure of the erasure protocol, 1 a success).</p> <p>The folder "Chained Erasure" contains the results concerning the repetition of the erasure protocols, repeated 100 times with random targets. For each protocol, we provide the full time traces (z, z0, z1), as well as the resulting work distribution "W...", the mean temperature after each erasure "T...", and the survival rate "R...".</p> <p>Files starting with z, z1, z0 correspond to the raw data of the experimental trajectories and protocols. Each line represents an independent realization of an experiment, with a sampling frequency of 2 MHz.</p> <p>Please contact the authors for any additional data or questions about this dataset.</p>
Neuromorphic Learning, Working Memory and Metaplasticity in Nanowire Networks
<p>Code + Data files for Neuromorphic Learning, Working Memory and Metaplasticity in Nanowire Networks, Science Advances</p>
Effects of Sativex(Registered Trademark) and Oral THC on Attention, Affect, Working Memory, Reversal Learning, Physiology and Brain Activation
ClinicalTrials.gov study NCT01037608. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Dopaminergic Enhancement of Learning and Memory in Healthy Adults and Patients With Dyslexia
ClinicalTrials.gov study NCT00111371. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Dopaminergic Enhancement of Learning and Memory in Healthy Adults and Patients With Dementia/Mild Cognitive Impairment
ClinicalTrials.gov study NCT00306124. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Atrial Fibrillation Follow-up Investigation to Recover Memory and learnING Trial
ClinicalTrials.gov study NCT05374642. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Enhancement of Learning and Memory Following Supplementation With Juice PLUS+® OMEGA in an Adolescent Population
ClinicalTrials.gov study NCT05581108. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Treating New Learning and Memory Deficits Following Stroke
ClinicalTrials.gov study NCT07127367. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Imaging of Cognition, Learning, and Memory in Aging
ClinicalTrials.gov study NCT01297114. IPD Sharing: YES. Countries: 1. Publications: 2.
Dopaminergic Enhancement of Learning and Memory in Aphasia
ClinicalTrials.gov study NCT00102869. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Triggering Motor Memory Consolidation in PD: Complex Practice of Fine Motor Tasks and Brain Activity During Learning
ClinicalTrials.gov study NCT04269590. IPD Sharing: NO. Countries: 1. Publications: 3.
A fMRI(Functional Magnetic Resonance Imaging) Research Study to Learn More About Multiple Sclerosis and Individuals Potentially Experiencing Memory Difficulties
ClinicalTrials.gov study NCT00315367. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effects of Delta9-tetrahydrocannabinol (THC) on Retention of Memory for Fear Extinction Learning in PTSD: R33 Study
ClinicalTrials.gov study NCT04080427. IPD Sharing: NO. Countries: 1. Publications: 1.
Functional Neuroanatomy of Emotion Perception, Recognition, Learning, and Memory
ClinicalTrials.gov study NCT00458432. IPD Sharing: Not stated. Countries: 1. Publications: 3.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.