Synaptic plasticity forms and functions

JC Magee, C Grienberger - Annual review of neuroscience, 2020 - annualreviews.org
Synaptic plasticity, the activity-dependent change in neuronal connection strength, has long
been considered an important component of learning and memory. Computational and …

Neuronal reward and decision signals: from theories to data

W Schultz - Physiological reviews, 2015 - journals.physiology.org
Rewards are crucial objects that induce learning, approach behavior, choices, and
emotions. Whereas emotions are difficult to investigate in animals, the learning function is …

Prefrontal cortex as a meta-reinforcement learning system

JX Wang, Z Kurth-Nelson, D Kumaran, D Tirumala… - Nature …, 2018 - nature.com
Over the past 20 years, neuroscience research on reward-based learning has converged on
a canonical model, under which the neurotransmitter dopamine 'stamps in'associations …

Consensus paper: towards a systems-level view of cerebellar function: the interplay between cerebellum, basal ganglia, and cortex

D Caligiore, G Pezzulo, G Baldassarre, AC Bostan… - The Cerebellum, 2017 - Springer
Despite increasing evidence suggesting the cerebellum works in concert with the cortex and
basal ganglia, the nature of the reciprocal interactions between these three brain regions …

Reinforcement learning and episodic memory in humans and animals: an integrative framework

SJ Gershman, ND Daw - Annual review of psychology, 2017 - annualreviews.org
We review the psychology and neuroscience of reinforcement learning (RL), which has
experienced significant progress in the past two decades, enabled by the comprehensive …

Whole-brain map** of direct inputs to midbrain dopamine neurons

M Watabe-Uchida, L Zhu, SK Ogawa, A Vamanrao… - Neuron, 2012 - cell.com
Recent studies indicate that dopamine neurons in the ventral tegmental area (VTA) and
substantia nigra pars compacta (SNc) convey distinct signals. To explore this difference, we …

Predictive representations can link model-based reinforcement learning to model-free mechanisms

EM Russek, I Momennejad, MM Botvinick… - PLoS computational …, 2017 - journals.plos.org
Humans and animals are capable of evaluating actions by considering their long-run future
rewards through a process described using model-based reinforcement learning (RL) …

Dopamine in motivational control: rewarding, aversive, and alerting

ES Bromberg-Martin, M Matsumoto, O Hikosaka - Neuron, 2010 - cell.com
Midbrain dopamine neurons are well known for their strong responses to rewards and their
critical role in positive motivation. It has become increasingly clear, however, that dopamine …

Neurophysiology of performance monitoring and adaptive behavior

M Ullsperger, C Danielmeier… - Physiological …, 2014 - journals.physiology.org
Successful goal-directed behavior requires not only correct action selection, planning, and
execution but also the ability to flexibly adapt behavior when performance problems occur or …

Action, outcome, and value: A dual-system framework for morality

F Cushman - Personality and social psychology review, 2013 - journals.sagepub.com
Dual-system approaches to psychology explain the fundamental properties of human
judgment, decision making, and behavior across diverse domains. Yet, the appropriate …