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Dataset results
16 results for “Behavioral decision making”
Qualitative raw data and behavioral analysis for understanding VMMC policy decision-making
<p>Faced with declining donor funding for HIV, low- and middle-income countries must identify efficient and cost-effective ways to integrate HIV prevention programs into public health systems for long-term sustainability. In Zambia, donor support to the voluntary medical male circumcision (VMMC) program, which previously funded non-governmental organizations as implementing partners, is increasingly being directed through government structures instead. We developed a framework to understand how the behaviors of individual decision-makers within the government could be barriers to this transition. We interviewed key stakeholders from the national, provincial, and district levels of the Ministry of Health, and from donors and partners funding and implementing Zambia's VMMC program, exploring the decisions required to attain a sustainable VMMC program and the behavioral dynamics involved at personal and institutional levels. Using pattern identification and theme matching to analyze the content of the responses, we derived three core decision-making phases in the transition to a sustainable VMMC program: 1) developing an alternative funding strategy, 2) developing a policy for early-infant (0-2 months) and early-adolescent (15-17 years) male circumcision, which is crucial to sustainable HIV prevention; and 3) identifying integrated and efficient implementation models. We formulated a framework showing how, in each phase, a range of behavioral dynamics can form barriers that hinder effective decision-making among stakeholders at the same level (e.g., national ministries and donors) or across levels (e.g., national, provincial and district). Our research methodology and the resulting framework offer a systematic approach for in-depth investigations into organizational decision-making in public health programs, as well as development programs beyond VMMC and HIV prevention. It provides the insights necessary to map organizational development and policy-making transition plans to sustainability, by explaining tangible factors such as organizational processes and systems, as well as intangibles such as the behaviors of policymakers and institutional actors.</p>
Qualitative raw data and behavioral analysis for understanding VMMC policy decision-making
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Data from: One-shot learning and behavioral eligibility traces in sequential decision making
In many daily tasks we make multiple decisions before reaching a goal. In order to learn such sequences of decisions, a mechanism to link earlier actions to later reward is necessary. Reinforcement learning theory suggests two classes of algorithms solving this credit assignment problem: In classic temporal-difference learning, earlier actions receive reward information only after multiple repetitions of the task, whereas models with eligibility traces reinforce entire sequences of actions from a single experience (one-shot). Here we show one-shot learning of sequences. We developed a novel paradigm to directly observe which actions and states along a multi-step sequence are reinforced after a single reward. By focusing our analysis on those states for which RL with and without eligibility trace make qualitatively distinct predictions, we find direct behavioral (choice probability) and physiological (pupil dilation) signatures of reinforcement learning with eligibility trace across multiple sensory modalities.
DECISION MAKING THEORIES IN BOTH HEALTH RELATED BEHAVIORS AND ENVIRONMENTAL BEHAVIORS
<p>DECISION MAKING THEORIES IN BOTH HEALTH RELATED BEHAVIORS AND ENVIRONMENTAL BEHAVIORS</p>
Behavioral and electrocortical effects of transcranial alternating current stimulation during advice-guided decision-making - raw data
<p>Raw EEG and behavioral data of the study "Behavioral and electrocortical effects of transcranial alternating current stimulation during advice-guided decision-making"</p>
Shared Decision-making: Effects on Cardiac Risk Factor Modification Behavior
ClinicalTrials.gov study NCT00714935. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Co-operative Behavior and Decision-making in Frontal Lobe Epilepsy
ClinicalTrials.gov study NCT02441478. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effects of Intranasal Oxytocin and Vasopressin on Social Behavior and Decision Making
ClinicalTrials.gov study NCT02526914. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Data from: One-shot learning and behavioral eligibility traces in sequential decision making
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Replication package for: We are all behavioral, more or less: A taxonomy of consumer decision making
<p>Code and data for reproducing tables in the paper.</p>
GR(1) Synthesis, Behavioral Programming, and Reinforcement Learning for Safe and Efficient Decision-Making Systems
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Gaze behavior and decision-making processes of handball referees: Insights from gender differences and expertise levels
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Tuned inhibition in perceptual decision-making circuits can explain seemingly suboptimal confidence behavior: S4 data, evidence for tuned inhibition in macaque superior colliculus
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Decision-making Impairments in OCD: An Integrated Behavioral Economics Model
ClinicalTrials.gov study NCT03420495. IPD Sharing: NO. Countries: 1. Publications: 0.
Examining the Relationship Between Ongoing Alcohol Use, Suicidal Thoughts and Behaviors and Related Constructs, and Behavioral Economic Decision-Making
ClinicalTrials.gov study NCT06845761. IPD Sharing: YES. Countries: 1. Publications: 0.
Common Decision Making Deficits in Suicidal Behaviors and Eating Disorders
ClinicalTrials.gov study NCT02595164. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ScienceDex guides
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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.