title: Cost, benefit, tonic, phasic: what do response rates tell us about dopamine and motivation?
abstract: The role of dopamine in decision making has received much attention from both the experimental and computational communities. However, because reinforcement learning models concentrate on discrete action selection and on phasic dopamine signals, they are silent as to how animals decide upon the rate of their actions, and they fail to account for the prominent effects of dopamine on response rates. We suggest an extension to reinforcement learning models in which response rates are optimally determined by balancing the tradeoff between the cost of fast responding and the benefit of rapid reward acquisition. The resulting behavior conforms well with numerous characteristics of free-operant responding. More importantly, this framework highlights a role for a tonic signal corresponding to the net rate of rewards, in determining the optimal rate of responding. We hypothesize that this critical quantity is conveyed by tonic levels of dopamine, explaining why dopaminergic manipulations exert a global affect on response rates. We further suggest that the effects of motivation on instrumental rates of responding are mediated through its influence on the net reward rate, implying a tight coupling between motivational states and tonic dopamine. The relationships between phasic and tonic dopamine signaling, and between directing and energizing effects of motivation, as well as the implications for motivational control of habitual and goal-directed instrumental action selection, are discussed.
authors.affiliation: Gatsby Computational Neuroscience Unit, UCL, London, United Kingdom. yael@princeton.edu
authors.forename: Yael
authors.initials: Y
authors.lastname: Niv
mesh_terms: D000818:Animals; D001522:Behavior, Animal; D002755:Choice Behavior; D003216:Conditioning, Operant; D003342:Corpus Striatum / Q000033:anatomy & histology; D004298:Dopamine / Q000378:metabolism*; D005247:Feeding Behavior; D006040:Goals; D006801:Humans; D007858:Learning; D008953:Models, Anatomic; D008959:Models, Neurological; D009042:Motivation; D012054:Reinforcement, Psychology; D012201:Reward
chemical_list: D004298:Dopamine