Naoshige Uchida

Cognitive Neuroscience · 2003–2020

A researcher in the Science corpus: 10 papers; trusts 23 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Naoshige Uchida trusts overall

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

  1. Richard S. Sutton
  2. Wolfram Schultz
  3. Gilles Laurent
  4. Peter S. Dayan
  5. Masayuki Matsumoto
  6. Will Dabney
  7. Andrew Barto
  8. Marc G. Bellemare
  9. Deniz Atasoy
  10. Okihide Hikosaka

Who trusts Naoshige Uchida overall

  1. Keiji Miura
  2. Robert A. A. Campbell
  3. Xiao-Jing Wang
  4. Dmitry Kobak
  5. Zachary F. Mainen
  6. Ilana Witten
  7. Richard P. Heitz
  8. Jill M. Mateo
  9. Kyle S. Honegger
  10. Stephen M. Fleming

Papers from Naoshige Uchida's perspective

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

  1. Human-level control through deep reinforcement learning
  2. A Neural Substrate of Prediction and Reward
  3. Reinforcement Learning: An Introduction
  4. Toward a modern theory of adaptive networks: expectation and prediction.
  5. Rainbow: Combining Improvements in Deep Reinforcement Learning
  6. ImageNet classification with deep convolutional neural networks
  7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  8. Lateral habenula as a source of negative reward signals in dopamine neurons (Nature)
  9. Phasic Firing in Dopaminergic Neurons Is Sufficient for Behavioral Conditioning (Science)
  10. Gradient-based learning applied to document recognition

Their papers