[HTML][HTML] Neuromodulation of prefrontal cortex cognitive function in primates: the powerful roles of monoamines and acetylcholine

R Cools, AFT Arnsten - Neuropsychopharmacology, 2022 - nature.com
The primate prefrontal cortex (PFC) subserves our highest order cognitive operations, and
yet is tremendously dependent on a precise neurochemical environment for proper …

Advances in the computational understanding of mental illness

QJM Huys, M Browning, MP Paulus… - …, 2021 - nature.com
Computational psychiatry is a rapidly growing field attempting to translate advances in
computational neuroscience and machine learning into improved outcomes for patients …

Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices

L Zhang, L Lengersdorff, N Mikus… - Social Cognitive and …, 2020 - academic.oup.com
The recent years have witnessed a dramatic increase in the use of reinforcement learning
(RL) models in social, cognitive and affective neuroscience. This approach, in combination …

[HTML][HTML] Chemistry of the adaptive mind: lessons from dopamine

R Cools - Neuron, 2019 - cell.com
The brain faces various computational tradeoffs, such as the stability-flexibility dilemma. The
major ascending neuromodulatory systems are well suited to dynamically regulate these …

A model of mood as integrated advantage.

D Bennett, G Davidson, Y Niv - Psychological Review, 2022 - psycnet.apa.org
Mood is an integrative and diffuse affective state that is thought to exert a pervasive effect on
cognition and behavior. At the same time, mood itself is thought to fluctuate slowly as a …

[HTML][HTML] Modeling flexible behavior in childhood to adulthood shows age-dependent learning mechanisms and less optimal learning in autism in each age group

D Crawley, L Zhang, EJH Jones, J Ahmad… - PLoS …, 2020 - journals.plos.org
Flexible behavior is critical for everyday decision-making and has been implicated in
restricted, repetitive behaviors (RRB) in autism spectrum disorder (ASD). However, how …

[HTML][HTML] A reward-based framework of perceived control

V Ly, KS Wang, J Bhanji, MR Delgado - Frontiers in neuroscience, 2019 - frontiersin.org
Perceived control can be broadly defined as the belief in one's ability to exert control over
situations or events. It has long been known that perceived control is a major contributor …

[HTML][HTML] Controllability governs the balance between Pavlovian and instrumental action selection

HM Dorfman, SJ Gershman - Nature communications, 2019 - nature.com
A Pavlovian bias to approach reward-predictive cues and avoid punishment-predictive cues
can conflict with instrumentally-optimal actions. Here, we propose that the brain arbitrates …

Dose-response effects of d-amphetamine on effort-based decision-making and reinforcement learning

HE Soder, JA Cooper, P Lopez-Gamundi… - …, 2021 - nature.com
Effort-related decision-making and reward learning are both dopamine-dependent, but
preclinical research suggests they depend on different dopamine signaling dynamics …

Evidence for absence of links between striatal dopamine synthesis capacity and working memory capacity, spontaneous eye-blink rate, and trait impulsivity

R van den Bosch, FH Hezemans, JI Määttä, L Hofmans… - Elife, 2023 - elifesciences.org
Individual differences in striatal dopamine synthesis capacity have been associated with
working memory capacity, trait impulsivity, and spontaneous eye-blink rate (sEBR), as …