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Behavioural Processes|August 6, 2019
Uncovering the 'state': Tracing the hidden state representations that structure learning and decision-makingAngela J Langdon, Mingyu Song, Yael NivCurrent Opinion in Behavioral Sciences|November 7, 2022
Value-free reinforcement learning: policy optimization as a minimal model of operant behaviorDaniel Bennett, Yael Niv, Angela J LangdonPlos Computational Biology|March 25, 2022
Minimal cross-trial generalization in learning the representation of an odor-guided choice taskMingyu Song, Yuji K Takahashi, Amanda C Burton, et al.Neuron|June 14, 2016
Temporal Specificity of Reward Prediction Errors Signaled by Putative Dopamine Neurons in Rat VTA Depends on Ventral StriatumYuji K Takahashi, Angela J Langdon, Yael Niv, et al.Current Opinion in Neurobiology|November 3, 2017
Model-based predictions for dopamineAngela J Langdon, Melissa J Sharpe, Geoffrey Schoenbaum, et al.Plos Computational Biology|November 23, 2022
Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learningMingyu Song, Persis A Baah, Ming Bo Cai, et al.Annals of the New York Academy of Sciences|April 10, 2007
Cost, benefit, tonic, phasic: what do response rates tell us about dopamine and motivation?Yael NivBehavioral Neuroscience|June 7, 2021
The primacy of behavioral research for understanding the brainYael NivTrends in Cognitive Sciences|November 5, 2022
The challenges of lifelong learning in biological and artificial systemsSashank Pisupati, Yael NivPageof 18