Medial and orbital frontal cortex in decision-making and flexible behavior
The medial frontal cortex and adjacent orbitofrontal cortex have been the focus of
investigations of decision-making, behavioral flexibility, and social behavior. We review …
investigations of decision-making, behavioral flexibility, and social behavior. We review …
Informing deep neural networks by multiscale principles of neuromodulatory systems
Our brains have evolved the ability to configure and adapt their processing states to match
the unique challenges of acting and learning in diverse environments and behavioral …
the unique challenges of acting and learning in diverse environments and behavioral …
Midbrain dopamine neurons signal phasic and ramping reward prediction error during goal-directed navigation
Goal-directed navigation requires learning to accurately estimate location and select optimal
actions in each location. Midbrain dopamine neurons are involved in reward value learning …
actions in each location. Midbrain dopamine neurons are involved in reward value learning …
What do reinforcement learning models measure? Interpreting model parameters in cognition and neuroscience
Highlights•'Reinforcement learning'(RL) refers to different concepts in machine learning,
psychology, and neuroscience.•In psychology and neuroscience, RL models have provided …
psychology, and neuroscience.•In psychology and neuroscience, RL models have provided …
Striatal and behavioral responses to reward vary by socioeconomic status in adolescents
Disparities in socioeconomic status (SES) lead to unequal access to financial and social
support. These disparities are believed to influence reward sensitivity, which in turn are …
support. These disparities are believed to influence reward sensitivity, which in turn are …
Dopamine encodes real-time reward availability and transitions between reward availability states on different timescales
Optimal behavior requires interpreting environmental cues that indicate when to perform
actions. Dopamine is important for learning about reward-predicting events, but its role in …
actions. Dopamine is important for learning about reward-predicting events, but its role in …
A chemogenetic approach for dopamine imaging with tunable sensitivity
MA Labouesse, M Wilhelm, Z Kagiampaki… - Nature …, 2024 - nature.com
Genetically-encoded dopamine (DA) sensors enable high-resolution imaging of DA release,
but their ability to detect a wide range of extracellular DA levels, especially tonic versus …
but their ability to detect a wide range of extracellular DA levels, especially tonic versus …
Parkinson's Disease: Cells Succumbing to Lifelong Dopamine-Related Oxidative Stress and Other Bioenergetic Challenges
H Watanabe, JM Dijkstra, T Nagatsu - International Journal of Molecular …, 2024 - mdpi.com
The core pathological event in Parkinson's disease (PD) is the specific dying of dopamine
(DA) neurons of the substantia nigra pars compacta (SNc). The reasons why SNc DA …
(DA) neurons of the substantia nigra pars compacta (SNc). The reasons why SNc DA …
Effort reinforces learning
H Jarvis, I Stevenson, AQ Huynh… - Journal of …, 2022 - Soc Neuroscience
Humans routinely learn the value of actions by updating their expectations based on past
outcomes–a process driven by reward prediction errors (RPEs). Importantly, however …
outcomes–a process driven by reward prediction errors (RPEs). Importantly, however …
Dopamine release in nucleus accumbens is under tonic inhibition by adenosine A1 receptors regulated by astrocytic ENT1 and dysregulated by ethanol
BM Roberts, E Lambert, JA Livesey, Z Wu… - Journal of …, 2022 - Soc Neuroscience
Striatal adenosine A1 receptor (A1R) activation can inhibit dopamine release. A1Rs on other
striatal neurons are activated by an adenosine tone that is limited by equilibrative …
striatal neurons are activated by an adenosine tone that is limited by equilibrative …