[HTML][HTML] Individual differences in computational psychiatry: A review of current challenges
Bringing precision to the understanding and treatment of mental disorders requires
instruments for studying clinically relevant individual differences. One promising approach is …
instruments for studying clinically relevant individual differences. One promising approach is …
Improving the reliability of cognitive task measures: A narrative review
S Zorowitz, Y Niv - Biological Psychiatry: Cognitive Neuroscience and …, 2023 - Elsevier
Cognitive tasks are capable of providing researchers with crucial insights into the
relationship between cognitive processing and psychiatric phenomena. However, many …
relationship between cognitive processing and psychiatric phenomena. However, many …
Theoretically informed generative models can advance the psychological and brain sciences: Lessons from the reliability paradox
Theories of individual differences are foundational to psychological and brain sciences, yet
they are traditionally developed and tested using superficial summaries of data (eg, mean …
they are traditionally developed and tested using superficial summaries of data (eg, mean …
[PDF][PDF] Learning from the reliability paradox: How theoretically informed generative models can advance the social, behavioral, and brain sciences
A primary aim of social, behavioral, and brain sciences is to develop explanations that
answer questions of why or how observed psychological phenomena occur (Hempel & …
answer questions of why or how observed psychological phenomena occur (Hempel & …
[HTML][HTML] Challenges and solutions to the measurement of neurocognitive mechanisms in developmental settings
Identifying early neurocognitive mechanisms that confer risk for mental health problems is
one important avenue as we seek to develop successful early interventions. Currently …
one important avenue as we seek to develop successful early interventions. Currently …
Adaptive design optimization as a promising tool for reliable and efficient computational fingerprinting
A key challenge in understanding mental (dys) functions is their etiological and functional
heterogeneity, and several multidimensional assessments have been proposed for their …
heterogeneity, and several multidimensional assessments have been proposed for their …
Anxiety modulates preference for immediate rewards among trait-impulsive individuals: A hierarchical Bayesian analysis
Trait impulsivity—defined by strong preference for immediate over delayed rewards and
difficulties inhibiting prepotent behaviors—is observed in all externalizing disorders …
difficulties inhibiting prepotent behaviors—is observed in all externalizing disorders …
The Fisher information matrix: A tutorial for calculation for decision making models
K Fujita, K Okada, K Katahira - 2022 - osf.io
The Fisher information matrix determines characteristics of statistical estimation and
hypothetical testing. This paper explains why the Fisher information matrix is important …
hypothetical testing. This paper explains why the Fisher information matrix is important …
Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias
Bayesian adaptive experimental design is a form of active learning, which chooses samples
to maximize the information they give about uncertain parameters. Prior work has shown that …
to maximize the information they give about uncertain parameters. Prior work has shown that …
Utility of computational approaches for precision psychiatry: Applications to substance use disorders
Revolutionary advances in neuroscience and genetics over the past two decades have
provided unprecedented opportunities for increasing our understanding of the etiology and …
provided unprecedented opportunities for increasing our understanding of the etiology and …