Anna C. Schapiro

Cognitive Neuroscience · 2013–2019

A researcher in the Science corpus: 5 papers; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 124 citations into it; #10,554 of 10,852 by trust here, #4,716 by citations
• Cellular and Molecular Neuroscience — 54 citations into it; #2,890 of 2,998 by trust here, #2,534 by citations
• Artificial Intelligence — 36 citations into it
• Reinforcement Learning — 25 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Neurology — 5 citations into it

Whom Anna C. Schapiro trusts overall

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

1. Randall C. O’Reilly
2. Michael E. Hasselmo
3. Richard S. Sutton
4. James L. McClelland
5. Kenneth A. Norman
6. Andrew Barto
7. Geoffrey E. Hinton
8. J. Urgen Schmidhuber
9. Karalyn Patterson
10. Thomas G. Dietterich

Who trusts Anna C. Schapiro overall

1. Andrea Banino
2. Ida Momennejad

Papers from Anna C. Schapiro's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• A deep learning framework for neuroscience (2019) — 1,016 citations
• Switching between internal and external modes: A multiscale learning principle (2017) — 112 citations
• Human hippocampal replay during rest prioritizes weakly learned information and predicts memory performance (2017) — 210 citations
• Complementary learning systems within the hippocampus: A neural network modeling approach to reconciling episodic memory with statistical learning (2016) — 423 citations
• Divide and Conquer: Hierarchical Reinforcement Learning and Task Decomposition in Humans (2013) — 32 citations