Reward articles from across Nature Portfolio

Reward is an appealing or appetitive concept that can be applied to an object or a situation, which positively reinforces a response, satisfies a motive or intent, or signals pleasure.

Latest Research and Reviews

Research
31 May 2023 | Open Access

Early life stress in male mice blunts responsiveness in a translationally-relevant reward task
- Erin E. Hisey
- , Emma L. Fritsch
- & William A. Carlezon Jr.
Neuropsychopharmacology, 1-8
Research | 23 May 2023

Involvement of cortical input to the rostromedial tegmental nucleus in aversion to foot shock
- Elizabeth J. Glover
- , E. Margaret Starr
- & L. Judson Chandler
Neuropsychopharmacology, 1-10
Research | 23 May 2023

Dopamine D2 receptors in nucleus accumbens cholinergic interneurons increase impulsive choice
- Julianna Cavallaro
- , Jenna Yeisley
- & Eduardo F. Gallo
Neuropsychopharmacology, 1-9
Research | 19 May 2023

Selective chemogenetic inactivation of corticoaccumbal projections disrupts trait choice impulsivity
- Jennifer M. Wenzel
- , Natalie E. Zlebnik
- & Joseph F. Cheer
Neuropsychopharmacology, 1-11
Research | 15 May 2023

Role of mesolimbic cannabinoid receptor 1 in stress-driven increases in cocaine self-administration in male rats
- Jayme R. McReynolds
- , Colten P. Wolf
- & John R. Mantsch
Neuropsychopharmacology, 1-12
Research
09 May 2023 | Open Access

Ketogenic diet enhances the effects of oxycodone in mice
- R. Trinko
- , D. M. Diaz
- & R. J. DiLeone
Scientific Reports 13, 7507

All Research & Reviews

News and Comment

Research Highlights | 15 May 2023

Novel evidence for endocannabinoid-mediated enhancement of cocaine intake in response to stress
- Mary M. Torregrossa
Neuropsychopharmacology, 1-2
News & Views | 27 April 2023

Computational strategies for deliberative thought

Two monkeys solved combinatorial optimization problems for rewards. They deliberated for extended durations, approximated efficient computational algorithms for managing complexity, and even selected algorithms according to the computational complexity of the trial. These findings reveal evidence for algorithm-based reasoning and establish a paradigm for studying the neurophysiological basis of deliberative thought.

Nature Neuroscience 26, 735-736
Research Highlights | 30 March 2023

Animal models of motivational dysfunction
- Alev Ecevitoglu
Nature Reviews Psychology 2, 264
Research Highlights | 16 March 2023

Affective instability and reward processing
- Ximena Goldberg
Nature Reviews Psychology 2, 203
Research Highlights | 15 March 2023

Kappa opioid receptors as modulators of novelty processing
- Kathryn Braden
- & Daniel C. Castro
Neuropsychopharmacology 48, 848-849
News & Views | 22 December 2022

Deep reinforcement learning to study combinatorial expansion of a behavior repertoire

Despite rich behavioral evidence, it is unclear how the brain expands its behavior repertoire. By building theoretical models with a deep reinforcement learning algorithm, I show that the brain composes a behavior to solve a novel task by combining previously acquired skills and augmenting their variability.

Nature Neuroscience 26, 2-3

All News & Comment

Reward articles from across Nature Portfolio

Latest Research and Reviews

Early life stress in male mice blunts responsiveness in a translationally-relevant reward task

Involvement of cortical input to the rostromedial tegmental nucleus in aversion to foot shock

Dopamine D2 receptors in nucleus accumbens cholinergic interneurons increase impulsive choice

Selective chemogenetic inactivation of corticoaccumbal projections disrupts trait choice impulsivity

Role of mesolimbic cannabinoid receptor 1 in stress-driven increases in cocaine self-administration in male rats

Ketogenic diet enhances the effects of oxycodone in mice

News and Comment

Novel evidence for endocannabinoid-mediated enhancement of cocaine intake in response to stress

Computational strategies for deliberative thought

Animal models of motivational dysfunction

Affective instability and reward processing

Kappa opioid receptors as modulators of novelty processing

Deep reinforcement learning to study combinatorial expansion of a behavior repertoire

Search

Quick links