Francesco Rigoli

Cognitive Neuroscience · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 108 citations into it; #6,454 of 10,852 by trust here, #5,162 by citations
• Reinforcement Learning — 20 citations into it
• Neuroscience — 15 citations into it
• General Decision Sciences — 11 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it
• Experimental and Cognitive Psychology — 8 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Francesco Rigoli trusts overall

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

1. Karl J. Friston
2. Matthew Botvinick
3. Wolfram Schultz
4. Richard S. Sutton
5. Andrew Barto
6. J. Cohen
7. Peter S. Dayan
8. Geoffrey E. Hinton
9. Rajesh P. N. Rao
10. Andy Clark

Who trusts Francesco Rigoli overall

1. Karl J. Friston
2. Danijar Hafner
3. Giovanni Pezzulo

Papers from Francesco Rigoli's perspective

Ordered by how strongly the researchers Francesco Rigoli 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. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
6. Gradient-based learning applied to document recognition
7. The Helmholtz Machine
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Curious model-building control systems
10. ImageNet: A large-scale hierarchical image database

Their papers

• Hierarchical Active Inference: A Theory of Motivated Control (2018) — 307 citations
• Active Inference: A Process Theory (2017) — 1,004 citations
• Active inference and epistemic value (2015) — 705 citations