#Nature neuroscience code

Gray bar along the x axis indicate the response window used for analysis. b, The population of 40 neurons used for our analyses in the Pavlovian and choice task had significant activations following unpredicted rewards – a characteristic feature of dopamine neurons. 16, 24–31 (2008).Ī, Example dopamine waveform from one of the neurons in our population. Cortical neural prosthesis performance improves when eye position is monitored.

Antidromic identification of dopaminergic and other output neurons of the rat substantia nigra. Body representation in ventrobasal thalamus of macaque: a single-unit analysis. How pupil responses track value-based decision-making during and after reinforcement learning. Inverted-U dopamine D1 receptor actions on prefrontal neurons engaged in working memory. Vijayraghavan, S., Wang, M., Birnbaum, S. Neuronal reward and decision signals: from theories to data. Pupil dilation signals surprise: evidence for noradrenaline’s role in decision making.

Cue-evoked dopamine promotes conditioned responding during learning. Morrens, J., Aydin, Ç., Janse van Rensburg, A., Esquivelzeta Rabell, J. Dopamine neurons learn relative chosen value from probabilistic rewards. Belief state representation in the dopamine system. A unifying probabilistic view of associative learning. Dopamine reward prediction error responses reflect marginal utility.

#Nature neuroscience code

A distributional code for value in dopamine-based reinforcement learning. A distributional perspective on reinforcement learning. Mastering the game of Go with deep neural networks and tree search. Human-level control through deep reinforcement learning. Adaptive coding of reward value by dopamine neurons. Visual fixations and the computation and comparison of value in simple choice. An approximately Bayesian delta-rule model explains the dynamics of belief updating in a changing environment. Scaling prediction errors to reward variability benefits error-driven learning in humans. Neural mechanisms behind identification of leptokurtic noise and adaptive behavioral response. Reinforcement Learning: An Introduction (MIT Press, 1998).ĭ’Acremont, M. Dopamine neurons learn to encode the long-term value of multiple future rewards. The biological and behavioral computations that influence dopamine responses.