Reward is not Reward: Differential Impacts of Primary and Secondary Rewards on Expectation, Outcome, and Prediction Error in the Human Brain's Reward Processing Regions

Three Recommendations for Improving the Use of p-Values

(2019) Daniel J. Benjamin et al.   AMERICAN STATISTICIAN

Separate neural representations of prediction error valence and surprise: Evidence from an fMRI meta-analysis

(2018) Elsa Fouragnan et al.   HUMAN BRAIN MAPPING

The anticipation and outcome phases of reward and loss processing: A neuroimaging meta-analysis of the monetary incentive delay task

(2018) Stuart Oldham et al.   HUMAN BRAIN MAPPING

On p-Values and Bayes Factors

(2018) Leonhard Held et al.   Annual Review of Statistics and Its Application

How the Maximal Evidence ofP-Values Against Point Null Hypotheses Depends on Sample Size

(2016) Leonhard Held et al.   AMERICAN STATISTICIAN

Rejection odds and rejection ratios: A proposal for statistical practice in testing hypotheses

(2016) M.J. Bayarri et al.   JOURNAL OF MATHEMATICAL PSYCHOLOGY

Prediction error in reinforcement learning: A meta-analysis of neuroimaging studies

(2013) Jane Garrison et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Processing of primary and secondary rewards: A quantitative meta-analysis and review of human functional neuroimaging studies

(2013) Guillaume Sescousse et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Two Dimensions of Value: Dopamine Neurons Represent Reward But Not Aversiveness

(2013) C. D. Fiorillo   SCIENCE

Saliency, switching, attention and control: a network model of insula function

(2010) Vinod Menon et al.   Brain Structure & Function

The Reward Circuit: Linking Primate Anatomy and Human Imaging

(2009) Suzanne N Haber et al.   NEUROPSYCHOPHARMACOLOGY