Synaptic plasticity forms and functions
Synaptic plasticity, the activity-dependent change in neuronal connection strength, has long
been considered an important component of learning and memory. Computational and …
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 …
emotions. Whereas emotions are difficult to investigate in animals, the learning function is …
Prefrontal cortex as a meta-reinforcement learning system
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 …
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
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 …
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
We review the psychology and neuroscience of reinforcement learning (RL), which has
experienced significant progress in the past two decades, enabled by the comprehensive …
experienced significant progress in the past two decades, enabled by the comprehensive …
Whole-brain map** of direct inputs to midbrain dopamine neurons
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 …
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
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) …
rewards through a process described using model-based reinforcement learning (RL) …
Dopamine in motivational control: rewarding, aversive, and alerting
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 …
critical role in positive motivation. It has become increasingly clear, however, that dopamine …
Neurophysiology of performance monitoring and adaptive behavior
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 …
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 …
judgment, decision making, and behavior across diverse domains. Yet, the appropriate …