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wvillano

William Villano

Recently Published

Update to PHQ findings (11/13)
Depressive Sx alter mPFC persistence following positive PEs
RLDM 2022 - Psychiatric risk is linked to overlearning from small PEs
Bracing Findings (Updated: 3/2/22)
Bracing, PE learning, and momentary affect
PSY 634 - Villano - HW1
Updated updating results
Preclinical Learning Analyses
Learning from Real-World PEs: Follow-up Analyses
Investigating the links between neuroticism, bracing, and prediction error learning
Investigating the links between neuroticism, bracing, and prediction error learning
Dense and Anticipation Affect in Updating Model + Mediation
Exam performance, prediction accuracy, and uncertainty
Updating, uncertainty, and affect (Draft 1)
Expectation updating, PEs, and information content
Updating, PEs, Info content (draft 1)
Nondense responses over time (Fall 2020)
Confidence vs. Unsigned PEs
Confidence change
Prediction Adjustments, Precision, and Updating
Prediction Updating
Prediction Updating
Event Lengths by Input Data Duration
Event Segmentation Update
PSY 631: Villano Extra Credit
WVillano HW4
HW1_wvillano
12-point vs. 100-point scale
Interceptless Models
Separate PE models
New Tests for Manuscript
Affect by ...
Testing Confidence Models
Publish Document
Document
Current Work: Computational Modeling of Affect
Document
Updated Results: No Exclusion Criteria
New Breakpoint estimation
Approximating breakpoints
Comparing Parameter Estimates
Comparing lmers
Comparing nested random effects structures
Comparing nested random effects structures (w/ cohort weighting)
Comparing nested random effects structures (w/ cohort weighting)
Comparing Random Effects Structures
AICs for Gammas Fit to Full Exploratory Dataframe
AICs for Gammas Fit to Full Exploratory Dataframe
Parameter Estimates with Gammas Fit to Full Exploratory Data Frame
Testing a Range of Gammas (controlling for exam number) mkII
Testing a Range of Gammas (controlling for exam number) mkI
Comparing Parameter Estimates Across Cohorts and Exams
Testing Mixed-Effects Models with a Range of Gammas (w/ nested random effect)
Testing Mixed-Effects Models with a Range of Gammas
Testing Mixed-Effects Models with a Range of Gammas (5-response threshold)
Testing Mixed-Effects Models with a Range of Gammas
Gamma Value Distribution with 3 vs 5 Response Threshold
Event Outcomes, Prediction Errors, and Daily Affect (5 response threshold)
Baseline-Corrected Positive and Negative Affect Post-Grade Time Series (5+ responses)
Positive and Negative Affect Post-Grade Time Series (5+ responses)
Baseline-Corrected Positive and Negative Affect Post-Grade Time Series
Positive and Negative Affect Post-Grade Time Series
Prediction errors, outcomes, and daily affect
Exploratory and confirmatory analyses