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47 results for “cognitive biases”
Code and data for: Is habitat selection in the wild shaped by individual-level cognitive biases in orientation strategy?
<p>This repository is a companion to the manuscript "<em>Is habitat selection in the wild shaped by individual-level cognitive biases in orientation strategy?</em>" and is linked to <a href="https://github.com/CBeardsworth/Pheasant_OrientStrat_Habitat">Github</a>.</p> <p>For any questions about the code please contact Christine at <a href="mailto:c.e.beardsworth@gmail.com">c.e.beardsworth@gmail.com</a></p> <p>To use any data contained in this repository contact Joah at <a href="mailto:j.r.madden@exeter.ac.uk">j.r.madden@exeter.ac.uk</a> for permission.</p> <p>In this repository, we have included a run-through of the R analysis <a href="https://cbeardsworth.github.io/Pheasant_OrientStrat_Habitat/">here</a> to show the outputs of the analysis without the need to run the code. For those that might want to run the code themselves, we have included three R scripts (<a href="https://github.com/CBeardsworth/NavigationHabitat/blob/master/R">/R</a>) and their accompanying datasets (<a href="https://github.com/CBeardsworth/NavigationHabitat/blob/master/Data">/Data</a>). A description of the code and the data needed to run them is below:</p> <p><em>Cognition analysis and figs.R</em> = Run the cognition analysis for the first section of the manuscript and create the figures. For this, the datasets mazeData.csv (the learning trials) and mazeRotationResults.csv (the probe trial) are required. </p> <p><em>iSSA analysis and bootstrapping.R</em> = Run iSSA models and bootstrapping. This produces the datasets required for the next stage of analysis. For this code, the datasets habitat.grd (habitat information), atlas2018-strategy.csv (atlas data + id and strategy data for each bird) and FeederCoords2017_27700.csv (coordinates of feeder locations from 2017-2018) are required. The produced datasets are included in <a href="https://github.com/CBeardsworth/NavigationHabitat/blob/master/Data">/Data</a> therefore to run subsequent analyses, this code does not need to be run. To develop this code we relied heavily on the code included in the supplementary material of <a href="https://doi.org/10.1002/ece3.4823">Signer et al. (2019)</a> as well as an <a href="https://bsmity13.github.io/log_rss">online tutorial</a> from Brian J. Smith for calculating log-RSS.</p> <p><em>Habitat analysis and Figs.R</em> = Run the statistical models for the final section of the manuscript and create the figures. For this code, the datasets produced in the previous R script are required (habitatOrientation_coefs.csv and habitatOrientation_avail.csv). We have included <a href="https://github.com/CBeardsworth/NavigationHabitat/blob/master/Data">these datasets</a> so users do not need to run the iSSA analysis and bootstrapping.R script themselves. </p>
Once an optimist, always an optimist? Studying cognitive judgment bias in mice
<p>This repository contains raw data and analysis code for the manuscript entitled "Once an Optimist, Always an Optimist? Studying Cognitive Judgment Bias in Mice" from Marko Bračić, Lena Bohn, Viktoria Siewert, Vanessa von Kortzfleisch, Holger Schielzeth, Sylvia Kaiser, Norbert Sachser, S. Helene Richter, accepted for publication in the journal Behavioral Ecology.</p> <p>The aim of the study was to investigate the causes and stability of cognitive judgment bias (aka "optimism").</p> <p>Individuals differ in the way they judge ambiguous information: some individuals interpret ambiguous information in a more optimistic, and others in a more pessimistic way. Over the past two decades, such "optimistic" and "pessimistic" cognitive judgement biases (CJBs) have been utilized in animal welfare science as indicators of animals' emotional states. However, empirical studies on their ecological and evolutionary relevance are still lacking.</p> <p>We, therefore, aimed at transferring the concept of "optimism" and "pessimism" to behavioral ecology and investigated the role of genetic and environmental factors in modulating CJB in mice, using an automated, touchscreen-based active choice paradigm. In addition, we assessed the temporal stability of individual differences in CJB.</p> <p><span></span></p> <p>We show that the chosen genotypes (C57BL/6J and B6D2F1N) and environments ("scarce" and "complex") did not have a statistically significant influence on the responses in the CJB test. By contrast, they influenced anxiety-like behavior (assessed in the elevated plus maze (EPM), an open field test (OFT), and a free exploration test (FET)) with C57BL/6J mice and mice from the "complex" environment displaying less anxiety-like behavior than B6D2F1N mice and mice from the "scarce" environment. As the selected genotypes and environments did not explain the existing differences in CJB, future studies might investigate the impact of other genotypes and environmental conditions on CJB, and additionally, elucidate the role of other potential causes like endocrine profiles and epigenetic modifications. Furthermore, we show that individual differences in CJB were repeatable over a period of seven weeks, suggesting that CJB represents a temporally stable trait in laboratory mice. Therefore, we encourage the further study of CJB within an animal personality framework.</p>
Data archive for 'Cognitive bias in relation to developmental history and stress response in European starlings (Sturnus vulgaris)'
<p>Data files and R code for Gott et al. 'Cognitive bias in relation to developmental history and stress response in European starlings (Sturnus vulgaris)'.</p> <p>One .csv file gives the trial-by-trial data from the cognitive bias experiment. The other gives individual-level summary variables. Both are used by the R script.</p> <p>Uploaded 9th September 2018</p>
Data and supplementary material for the paper "Development of an IntelliCage based Cognitive Bias Test for Mice."
<p>All raw data, R scripts for analysis and the supplementary material related to the paper "Development of an IntelliCage based Cognitive Bias Test for Mice." are available to the scientific public here. A preprint version of the paper will be published on bioRxiv. </p> <p>Version 2 contains R scripts, version 1 does not.</p> <p>Version 3: For better clarity, the data were saved as .ods files. Each .ods file contains the data for one developmental step. The R scripts are still available as .txt files. In addition, an ARRIVE checklist was added.</p> <p>Version 4: xlsx instead of ods fiels</p> <p>Version 5: Extended supplemet PDF file<br> Added GroupTwo_Entries and GroupThree_Entries txt files</p> <p>A pre-print version can be found at bioRxiv: https://www.biorxiv.org/content/10.1101/2022.10.19.512853v1 </p>
Once an optimist, always an optimist? Studying cognitive judgment bias in mice
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Pessimistic cognitive bias is associated with enhanced reproductive investment in female zebrafish
<p><span>Optimistic and pessimistic cognitive biases have been described in many animals and are related to the perceived valence of the environment. We, therefore, hypothesize that such cognitive bias can be adaptive depending on environmental conditions. In reward rich environments an optimistic bias would be favored, whereas in harsh environments a pessimistic one would thrive. Here, we empirically investigated the potential adaptive value of such bias using zebrafish as a model. We first phenotyped female zebrafish in an optimistic/pessimistic axis using a previously validated judgment bias assay. Optimistic and pessimistic females were then exposed to an unpredictable chronic stress protocol for 17 days, after which fish were euthanized and the sectional area of the different ovarian structures was quantified</span><span> in both undisturbed and stressed groups. Our results show that </span><span>zebrafish ovarian development responded to chronic stress, and that judgment bias impacted the relative area of the vitellogenic developmental stage in the stress treatment, with pessimists showing higher vitellogenic areas as compared with optimists. These results suggest that pessimism maximize reproductive investment, through increased vitellogenesis, indicating a relationship between cognitive bias and life-history organismal decisions.</span></p>
Augmenting Hospitalization for Serious Mental Illness: Cognitive Bias Modification
ClinicalTrials.gov study NCT03509181. IPD Sharing: YES. Countries: 1. Publications: 1.
Pessimistic cognitive bias is associated with enhanced reproductive investment in female zebrafish
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Data from: Cognitive tasks could be biased towards generalists: a lesson from wild non-eusocial bees
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Age and atitude: How longevity influences cognitive biases in honeybee workers
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Attention Bias Modification Treatment (ABMT) and Cognitive-Behavioral Group Therapy (CBGT) in Social Anxiety Disorder
ClinicalTrials.gov study NCT02338453. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Treatment of Social Phobia With Combined Cognitive Bias Modification and iCBT
ClinicalTrials.gov study NCT01570400. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Cognitive Bias Modification Training on Internet Gaming Disorder
ClinicalTrials.gov study NCT03790527. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Multi-session, Personalized Cognitive Bias Modification for Thought-Action-Fusion
ClinicalTrials.gov study NCT06731426. IPD Sharing: NO. Countries: 1. Publications: 3.
Can Cognitive-bias Modification Training During Inpatient Alcohol Detoxification Reduce Relapse Rates Post-discharge?
ClinicalTrials.gov study NCT02634476. IPD Sharing: UNDECIDED. Countries: 1. Publications: 13.
Cognitive Bias Modification for Youth Anxiety
ClinicalTrials.gov study NCT02156531. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Threat Interpretation Bias as Cognitive Marker and Treatment Target in Pediatric Anxiety
ClinicalTrials.gov study NCT04245501. IPD Sharing: YES. Countries: 1. Publications: 0.
Treatment of Social Phobia With Cognitive Bias Modification
ClinicalTrials.gov study NCT01577303. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Cognitive Bias Modification (CBM) Via Imagery and Internet Cognitive Behavioural Therapy (iCBT) for Depression
ClinicalTrials.gov study NCT01787513. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Cognitive Bias Modification Training in Adolescents Who Have Experienced Adversity
ClinicalTrials.gov study NCT03625206. IPD Sharing: YES. Countries: 2. Publications: 1.
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.