[HTML][HTML] Individual differences in computational psychiatry: A review of current challenges

P Karvelis, MP Paulus, AO Diaconescu - Neuroscience & Biobehavioral …, 2023 - Elsevier
Bringing precision to the understanding and treatment of mental disorders requires
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 …

A 3D framework of implicit attitude change

B Kurdi, TES Charlesworth - Trends in Cognitive Sciences, 2023 - cell.com
According to early theories, implicit (automatic) social attitudes are difficult if not impossible
to change. Although this view has recently been challenged by research relying on …

Why many studies of individual differences with inhibition tasks may not localize correlations

JN Rouder, A Kumar, JM Haaf - Psychonomic Bulletin & Review, 2023 - Springer
Individual difference exploration of cognitive domains is predicated on being able to
ascertain how well performance on tasks covary. Yet, establishing correlations among …

Dynamic computational phenotyping of human cognition

R Schurr, D Reznik, H Hillman, R Bhui… - Nature Human …, 2024 - nature.com
Computational phenotyping has emerged as a powerful tool for characterizing individual
variability across a variety of cognitive domains. An individual's computational phenotype is …

Processing speed and executive attention as causes of intelligence.

CA Mashburn, MK Barnett, RW Engle - Psychological Review, 2023 - psycnet.apa.org
Individual differences in processing speed and executive attention have both been
proposed as explanations for individual differences in cognitive ability, particularly general …

Neural coding of cognitive control: the representational similarity analysis approach

MC Freund, JA Etzel, TS Braver - Trends in Cognitive Sciences, 2021 - cell.com
Cognitive control relies on distributed and potentially high-dimensional frontoparietal task
representations. Yet, the classical cognitive neuroscience approach in this domain has …

On the origins and evolution of the Attention Network Tests

R de Souza Almeida, A Faria-Jr, RM Klein - Neuroscience & Biobehavioral …, 2021 - Elsevier
Attention is a pivotal cognitive function and efforts to understand its properties and
operations are fundamental. Building upon the best known taxonomy of attention put forward …

[HTML][HTML] Hyperbolic trade-off: The importance of balancing trial and subject sample sizes in neuroimaging

G Chen, DS Pine, MA Brotman, AR Smith, RW Cox… - NeuroImage, 2022 - Elsevier
Here we investigate the crucial role of trials in task-based neuroimaging from the
perspectives of statistical efficiency and condition-level generalizability. Big data initiatives …

Using group level factor models to resolve high dimensionality in model-based sampling.

N Stevenson, RJ Innes, QF Gronau, S Miletić… - Psychological …, 2024 - psycnet.apa.org
Joint modeling of decisions and neural activation poses the potential to provide significant
advances in linking brain and behavior. However, methods of joint modeling have been …