Hannah M. Bayer

Cognitive Neuroscience · 2005

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Hannah M. Bayer trusts overall

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

  1. Richard S. Sutton
  2. P. R. Montague
  3. Andrew Barto
  4. Wolfram Schultz
  5. Gregory S. Berns
  6. Peter S. Dayan
  7. Daniel Kahneman

Who trusts Hannah M. Bayer overall

  1. Wolfram Schultz
  2. Xiao-Jing Wang
  3. Michael J Frank
  4. A. G. Collins
  5. Paul Glimcher
  6. Samuel J. Gershman
  7. Ann M. Graybiel
  8. Kent C. Berridge
  9. Nathaniel D. Daw
  10. Simon S. Haykin

Papers from Hannah M. Bayer's perspective

Ordered by how strongly the researchers Hannah M. Bayer trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Neural Substrate of Prediction and Reward
  2. Toward a modern theory of adaptive networks: expectation and prediction.
  3. Neural Economics and the Biological Substrates of Valuation (Neuron)
  4. Dopamine responses comply with basic assumptions of formal learning theory (Nature)
  5. Reinforcement Learning: An Introduction
  6. Getting formal with dopamine and reward. (Neuron)
  7. Correlated neuronal discharge rate and its implications for psychophysical performance
  8. Neural computations that underlie decisions about sensory stimuli. (Trends in Cognitive Sciences)
  9. Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. (Journal of Neurophysiology)
  10. Learning internal representations by error propagation

Their papers