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Dataset results
110 results for “associative learning”
A test of the role of associative learning in originating sexual preferences in the guppy
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Vicarious reward unblocks associative learning about novel cues in male rats
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Data from: The quick are the dead: pheasants that are slow to reverse a learned association survive for longer in the wild
Cognitive abilities likely evolve through natural selection if they provide individuals with fitness benefits. A growing number of studies demonstrate a positive relationship between performance in psychometric tasks and (proxy) measures of fitness. We assayed the performance of 154 Common Pheasant Phasianus colchicus chicks on tests of acquisition and reversal learning, using a different set of chicks and different set of cue types (spatial location and colour) in each of two years and then followed their fates after release into the wild. Across all birds, individuals that were slow to reverse previously learned associations were more likely to survive to four months old. For heavy birds, individuals that rapidly acquired an association had improved survival to four months, whereas for light birds, slow acquirers were more likely to be alive. Slow reversers also exhibited less exploratory behaviour in assays when five weeks old. Fast acquirers visited more artificial feeders after release. By contrast to most other studies, we showed that apparently 'poor' cognitive performance (slow reversal speed suggesting low behavioural flexibility) correlates with fitness benefits in at least some circumstances. This correlation suggests a novel mechanism by which continued exaggeration of cognitive abilities may be constrained.
Predicting Drug Synergy through Drug-Associated Pathways Using Deep Learning
<p>example input dataset for one cross-validation run</p>
Datasets associated with the manuscript "Discovering SARS-CoV-2 neoepitopes and the associated TCR-pMHC recognition mechanisms by combining single-cell sequencing, deep learning, and molecular dynamics simulation techniques"
<p>meta_data_TCR-pMHC_from_STCRDab.tsv, TCR-pMHC structures used for contacts analysis.</p><p>tcr_gliph_input_sars2.tsv, input files (TCR sequences and related information) used for clustering TCRs targeting SARS-CoV-2 epitopes and epitope-unknown TCRs.</p><p>tcr_gliph_input_non-sars2.tsv, input files used for clustering TCRs targeting non-SARS-CoV-2 epitopes and epitope-unknown TCRs.</p><p>tcr_gliph_output*, output files from the GLIPH software, including the recognized TCR clusters by GLIPH (convergence-group.txt), the linkage information of TCR clusters (clone-network.txt), and the recognized motif in TCR clusters (kmer.txt).</p><p>md_trajs.tar, structures and MD simulation trajectories of TCR-614-pMHC and TCR-204-pMHC complexes.</p>
Dataset: Implicit Learning of Parity and Magnitude Associations with Number Color
<p>Dataset for accepted manuscript. SAV files for SPSS or open-source PSPP (https://www.gnu.org/software/pspp/).</p> <p>Behavioral data (accuracy and response time) for all 54 participants (human adults) included in the sample. Separate datasets for the parity and magnitude experiments.</p> <p>Variables:</p> <ul> <li>Subj = randomized subject identification number</li> <li>Group = Experimental (category-level) or control (item-level) <ul> <li>Group 1 = Control</li> <li>Group 2 = Experimental</li> </ul> </li> <li>Acc_Inc = Accuracy (proportion correct) for incongruent (low-probability) trials</li> <li>Acc_Con = Accuracy (proportion correct) for congruent (high-probability) trials</li> <li>Acc_Effect = Congruent minus incongruent (%)</li> <li>RT_Con = Response time (s) for congruent (high-probability) trials</li> <li>RT_Inc = Response time (s) for incongruent (low-probability) trials</li> <li>RT_Effect = Incongruent minus congruent (ms)</li> <li>DD_Acc = Explicit association report task (with double-digits) accuracy (proportion correct)</li> <li>DD_RT = Explicit association report task (with double-digits) response time (s)</li> <li>TTR = Tempo-Test Rekenen score of mathematical fluency; score from 0-200</li> <li>Data across 5 experimental blocks <ul> <li>Acc_Inc_1 ... Acc_Inc_5 = Accuracy (proportion correct) for incongruent (low-probability) trials</li> <li>Acc_Con_1 ... Acc_Con_5 = Accuracy (proportion correct) for congruent (high-probability) trials</li> <li>RT_Inc_1 ... RT_Inc_5 = Response time (s) for incongruent (low-probability) trials</li> <li>RT_Con_1 ... RT_Con_5 = Response time (s) for congruent (high-probability) trials</li> </ul> </li> </ul> <p> </p> <p> </p>
Exploring Community Smells in Machine Learning Applications: Analytical Insights and Their Association with Self-Admitted Technical Debt
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Exploring Community Smells in Machine Learning Applications: Analytical Insights and Their Association with Self-Admitted Technical Debt
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Fig 1 from: Shephard AM, Aksenov V, Rollo CD (2018) Conspecific mortality cues mediate associative learning in crickets, Acheta domesticus (Orthoptera: Gryllidae). Journal of Orthoptera Research 27(2): 187-192. https://doi.org/10.3897/jor.27.25484
Fig 1 Changes in olfactory preference index for adult crickets (Achetadomesticus) conditioned to associate a favorable vanilla olfactory scent with one of five necromone cues: all-female cricket body extract (F Ex), all-male extract (M Ex), combined male-female extract (MF Ex), oleic acid (OA), and linoleic acid (LA). In the control treatment, crickets were conditioned with ethanol instead of a necromone cue. Positive indices indicate vanilla preference and negative indices indicate peppermint preference. A significant change in preference index between initial and post-conditioning tests (relative to the control) indicates learning associated with a necromone cue (* p < 0.05, ** p < 0.01). All preference indices were derived from perching durations (i.e. total time spent attending to either the vanilla or peppermint cue during the preference test). Bars indicate standard error.
Would you detour with me? Association between functional breed selection and social learning in dogs sheds light on elements of dog-human cooperation
<p>Raw dataset for the research article.</p> <p>Dog Owner Consent form</p>
A Study to Learn About How Elinzanetant Works and How Safe it is in Women Having Sleep Disturbances Associated With Menopause
ClinicalTrials.gov study NCT06112756. IPD Sharing: NO. Countries: 7. Publications: 0.
Brain Changes Associated With Learning a Motor Task
ClinicalTrials.gov study NCT00076466. IPD Sharing: Not stated. Countries: 1. Publications: 3.
A Trial to Learn if ALN-PNP is Safe and Well Tolerated in Healthy Adults and Adult Participants With Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
ClinicalTrials.gov study NCT05648214. IPD Sharing: YES. Countries: 1. Publications: 0.
Data from: Selection for associative learning of color stimuli reveals correlated evolution of this learning ability across multiple stimuli and rewards.
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Data from: Rival assessment among northern elephant seals: evidence of associative learning during male-male contests
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Data from: The quick are the dead: pheasants that are slow to reverse a learned association survive for longer in the wild
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Data from: The evolutionary origin of associative learning
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HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence
GEO Series GSE221870. Homo sapiens. 76 samples. Type: Other.
Altered learning, memory, and social behavior in type 1 taste receptor subunit 3 knock-out mice are associated with neuronal dysfunction.
GEO Series GSE97677. Mus musculus. 18 samples. Type: Expression profiling by array.
Reactivation of memory-encoding dentate gyrus neurons during memory consolidation is associated with subregion-specific, learning- and sleep-mediated biosynthetic changes [spatial RNA expression level
GEO Series GSE229080. Mus musculus; blank sample. 130 samples. Type: Expression profiling by high throughput sequencing; Other.
ScienceDex guides
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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.