Vasiliki Liakoni

Cognitive Neuroscience · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 58 citations into it
• Cellular and Molecular Neuroscience — 45 citations into it
• Electrical and Electronic Engineering — 36 citations into it
• Artificial Intelligence — 21 citations into it
• Reinforcement Learning — 14 citations into it

Whom Vasiliki Liakoni trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Wolfram Schultz
4. Ronald J. Williams
5. J. Urgen Schmidhuber
6. Satinder Singh
7. Kenji Doya
8. A. Harry Klopf
9. Razvan V. Florian
10. Kenneth D. Miller

Papers from Vasiliki Liakoni's perspective

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

1. Reinforcement Learning: An Introduction
2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Asynchronous Methods for Deep Reinforcement Learning
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. A Neural Substrate of Prediction and Reward
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Neural networks and physical systems with emergent collective computational abilities.

Their papers

• Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules (2018) — 347 citations