LaMartine
at MathPsych / ICCM 2026
at MathPsych / ICCM 2026
Evidence Accumulation & Response Times
Details
Jul 18 @ 09:00 EDT
- Jul 18 @ 10:20 EDT
In-person session
Presentations
Robust, scalable Cognitive Psychometrics with the Hierarchical Bayesian EZ-DDM
Seamless Structural Equation Evidence Accumulation Modelling of Choice Conflict Tasks
Fast and robust closed-form estimators of ex-Gaussian response time models
The Good, the Bad, and the Ugly of Amortized Bayesian Model Comparison
Human-AI Interaction
Details
Jul 18 @ 10:40 EDT
- Jul 18 @ 12:00 EDT
In-person session
Presentations
Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals
Toward a Theory of Machine Psychometrics for Artificial Agents
Modeling Human Delegation to AI Under Time and Effort Trade-offs
LLMs & Artificial Intelligence
Details
Jul 19 @ 09:00 EDT
- Jul 19 @ 10:20 EDT
In-person session
Presentations
What do deep neural networks retain during Catastrophic Forgetting?
Algorithm aversion under subjective expected utility choice
Are LLMs rational Decision Makers? Testing Transitivity under Stochastic and Memory Constraints
Are LLMs moral decision-makers? A computational framework for evaluating AI morality
Learning & Generalization
Details
Jul 19 @ 10:40 EDT
- Jul 19 @ 12:00 EDT
In-person session
Presentations
Combining stochastic perception and error-driven learning to account for orthographic processing
How mental models influence what is learned
Imputed partial encoding produces neural-like differentiation for exemplar models
Neural & Behavioral Models
Details
Jul 20 @ 09:00 EDT
- Jul 20 @ 10:20 EDT
In-person session
Presentations
Single-trial joint EEG-behavior modeling of pedestrian road-crossing decisions
Four simple neural-inspired quantitative rules for sensory combination that model many perceptual interactions
The Neural efficiency score: Quantifying the relationship between work accomplished and energy expended using reaction times and EEG
Beyond SSRT: the issues and a solution
Statistics & Identifiability
Details
Jul 20 @ 10:40 EDT
- Jul 20 @ 12:00 EDT
In-person session
Presentations
Model discovery for hierarchical datasets
The Geometry and Brittleness of Latent Correlations in Structural Equation Modeling
All models are wrong, and so is model comparison: Bayes Factors and cross-validation under misspecification
The limits of identifiability in the self-exciting Ornstein–Uhlenbeck model
Detection & Recognition
Details
Jul 20 @ 15:00 EDT
- Jul 20 @ 16:00 EDT
In-person session
Presentations
Systems Factorial Technology investigation of short term memory scanning of pure tones in musicians and nonmusicians: Beginning with workload capacity
A Demonstration and Validation of Adaptive Design for General Recognition Theory