Matthew T. Kaufman

Cognitive Neuroscience · 2005–2019

A researcher in the Science corpus: 8 papers; trusts 11 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew T. Kaufman trusts overall

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

  1. Nicole C. Rust
  2. Sariel Har-Peled
  3. Bingni W. Brunton
  4. Brian Knutson
  5. P. R. Montague

Who trusts Matthew T. Kaufman overall

  1. H. Francis Song
  2. John P. Cunningham
  3. Guangyu Robert Yang
  4. Saurabh Saxena
  5. Rafael Yuste
  6. Yu Takagi
  7. Alexis M. Dubreuil
  8. Brian Knutson
  9. Xiao-Jing Wang
  10. Saurabh Vyas

Papers from Matthew T. Kaufman's perspective

Ordered by how strongly the researchers Matthew T. Kaufman trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. A Neural Substrate of Prediction and Reward
  3. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  4. DRAW: A Recurrent Neural Network For Image Generation
  5. Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  6. FMRI visualization of brain activity during a monetary incentive delay task. (NeuroImage)
  7. Functional imaging of neural responses to expectancy and experience of monetary gains and losses. (Neuron)
  8. Anticipation of Increasing Monetary Reward Selectively Recruits Nucleus Accumbens (Journal of Neuroscience)
  9. Generating Sentences from a Continuous Space
  10. A Recurrent Latent Variable Model for Sequential Data

Their papers