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 …
Learning, reward, and decision making
JP O'Doherty, J Cockburn… - Annual review of …, 2017 - annualreviews.org
In this review, we summarize findings supporting the existence of multiple behavioral
strategies for controlling reward-related behavior, including a dichotomy between the goal …
strategies for controlling reward-related behavior, including a dichotomy between the goal …
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 …
Persistent spiking activity underlies working memory
Persistent activity generated in the PFC during the delay period of working memory tasks
represents information about stimuli held in memory and determines working memory …
represents information about stimuli held in memory and determines working memory …
A hierarchy of intrinsic timescales across primate cortex
Specialization and hierarchy are organizing principles for primate cortex, yet there is little
direct evidence for how cortical areas are specialized in the temporal domain. We measured …
direct evidence for how cortical areas are specialized in the temporal domain. We measured …
Orbitofrontal cortex as a cognitive map of task space
Orbitofrontal cortex (OFC) has long been known to play an important role in decision
making. However, the exact nature of that role has remained elusive. Here, we propose a …
making. However, the exact nature of that role has remained elusive. Here, we propose a …
[图书][B] Reinforcement learning: An introduction
The significantly expanded and updated new edition of a widely used text on reinforcement
learning, one of the most active research areas in artificial intelligence. Reinforcement …
learning, one of the most active research areas in artificial intelligence. Reinforcement …
Interplay of approximate planning strategies
Humans routinely formulate plans in domains so complex that even the most powerful
computers are taxed. To do so, they seem to avail themselves of many strategies and …
computers are taxed. To do so, they seem to avail themselves of many strategies and …
Separable learning systems in the macaque brain and the role of orbitofrontal cortex in contingent learning
Orbitofrontal cortex (OFC) is widely held to be critical for flexibility in decision-making when
established choice values change. OFC's role in such decision making was investigated in …
established choice values change. OFC's role in such decision making was investigated in …
Neurons in the frontal lobe encode the value of multiple decision variables
SW Kennerley, AF Dahmubed, AH Lara… - Journal of cognitive …, 2009 - direct.mit.edu
A central question in behavioral science is how we select among choice alternatives to
obtain consistently the most beneficial outcomes. Three variables are particularly important …
obtain consistently the most beneficial outcomes. Three variables are particularly important …