The roles of valuation and reward processing in cognitive function and psychiatric disorders

S Hélie, F Shamloo, K Novak… - Annals of the New York …, 2017 - Wiley Online Library
In neuroeconomics, valuation refers to the process of assigning values to states and actions
on the basis of the animal's current representation of the environment, while reward …

Value, drug addiction and the brain

K Loganathan, ETW Ho - Addictive behaviors, 2021 - Elsevier
Over the years, various models have been proposed to explain the psychology and biology
of drug addiction, built primarily around the habit and compulsion models. Recent research …

Unveiling serotonergic dysfunction of obsessive-compulsive disorder on prefrontal network dynamics: a computational perspective

L Yin, Y Yu, F Han, Q Wang - Cerebral Cortex, 2024 - academic.oup.com
Abstract Serotonin (5-HT) regulates working memory within the prefrontal cortex network,
which is crucial for understanding obsessive-compulsive disorder. However, the …

A biophysical model for dopamine modulating working memory through reward system in obsessive–compulsive disorder

L Yin, F Han, Q Wang - Cognitive Neurodynamics, 2023 - Springer
Dopamine modulates working memory in the prefrontal cortex (PFC) and is crucial for
obsessive–compulsive disorder (OCD). However, the mechanism is unclear. Here we …

Criterion learning in rule-based categorization: Simulation of neural mechanism and new data

S Helie, SW Ell, JV Filoteo, WT Maddox - Brain and cognition, 2015 - Elsevier
In perceptual categorization, rule selection consists of selecting one or several stimulus-
dimensions to be used to categorize the stimuli (eg, categorize lines according to their …

A computational model of prefrontal and striatal interactions in perceptual category learning

S Hélie, LX Lim, MJ Adkins, TS Redick - Brain and cognition, 2023 - Elsevier
Work on multiple-system theories of cognition mostly focused on the systems themselves,
while limited work has been devoted to understanding the interactions between systems …

Learnable personalization of brain tumor growth models

I Ezhov - 2023 - mediatum.ub.tum.de
Treatment planning for patients diagnosed with brain tumors requires understanding the
disease dynamics. Mathematical formalization of the tumor progression often implies …

Revisiting the Pattern Recognition Methods Employed in the Study of Cognitive Processing Stages

BK Musuadhi Rajan - 2022 - fse.studenttheses.ub.rug.nl
Cognitive models of ACT-R architecture process information in multiple stages, mimicking
the different stages that humans undergo while performing cognitive tasks. For evaluating …

Towards a unified neurobiological theory of creative problem solving

S Helie - The 2013 International Joint Conference on Neural …, 2013 - ieeexplore.ieee.org
Very little work in psychology has tried to simultaneously tackle the representational problem
and the search problem in creative problem solving. Unifying these two fields is critical …

A computational model of the interaction of neurobiological circuits for category learning

LX Lim - 2020 - search.proquest.com
The goal of this proposal is to design a neurobiologically-based model that describes the
switching mechanism in category learning based on existing category learning theory and …