Charles R. Gallistel
Cognitive Neuroscience · 2000–2013
A researcher in the Science corpus: 7 papers; trusts 19 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 41 citations into it; #1,652 of 10,852 by trust here, #2,945 by citations
- Cellular and Molecular Neuroscience — 20 citations into it
- Cognitive Science & Psychology — 14 citations into it; #293 of 582 by trust here, #415 by citations
- Developmental and Educational Psychology — 13 citations into it
- Neuroscience — 9 citations into it; #171 of 487 by trust here, #288 by citations
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Charles R. Gallistel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Suzanna Becker
- Geoffrey E. Hinton
- Paul Smolensky
- Richard S. Sutton
- Wolfram Schultz
- Kent C. Berridge
- Russell A. Epstein
- Jeffrey L. Elman
- Peter S. Dayan
- David J. Heeger
Who trusts Charles R. Gallistel overall
- Noam Chomsky
- Nikolaus Kriegeskorte
- R. Church
- Michelle G. Craske
- Patrick C. Trettenbrein
- Peter Carruthers
- Nathaniel D. Daw
- M. Bouton
- Mehrdad Jazayeri
- Mathieu Le Corre
Papers from Charles R. Gallistel's perspective
Ordered by how strongly the researchers Charles R. Gallistel trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
Their papers
- Memory and the Computational Brain: Why Cognitive Science will Transform Neuroscience (2009) — 211 citations
- Non-verbal numerical cognition: from reals to integers. (2000) — 815 citations
- Memory and the Computational Brain: Why Cognitive Science will Transform Neuroscience (2009) — 254 citations
- The neuroscience of learning: beyond the Hebbian synapse. (2013) — 212 citations
- Causal Learning (2012)
- The Replacement of General-Purpose Learning Models with Adaptively Specialized Learning Modules (2000) — 148 citations
- Time, rate, and conditioning. (2000) — 1,078 citations