Michael J. Frank

Cognitive Neuroscience · with Collins · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael J. Frank trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Michael J Frank
  2. Peter S. Dayan
  3. Florentin Wörgötter
  4. Kent C. Berridge
  5. Bernd Porr

Papers from Michael J. Frank's perspective

Ordered by how strongly the researchers Michael J. Frank trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans (Nature)
  2. A Neural Substrate of Prediction and Reward
  3. Tonic dopamine: opportunity costs and the control of response vigor (Psychopharmacology)
  4. Dynamic Dopamine Modulation in the Basal Ganglia: A Neurocomputational Account of Cognitive Deficits in Medicated and Nonmedicated Parkinsonism (Journal of Cognitive Neuroscience)
  5. FROM REINFORCEMENT LEARNING MODELS OF THE BASAL GANGLIA TO THE PATHOPHYSIOLOGY OF PSYCHIATRIC AND NEUROLOGICAL DISORDERS (Nature Neuroscience)
  6. By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism (Science)
  7. Decision theory, reinforcement learning, and the brain
  8. Regulation of parkinsonian motor behaviors by optogenetic control of basal ganglia circuitry (Nature)
  9. Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning (Proceedings of the National Academy of Sciences of the United States of America)
  10. From prediction error to incentive salience: mesolimbic computation of reward motivation (European Journal of Neuroscience)

Their papers