Micha Heilbron

Cognitive Neuroscience · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 85 citations into it
• Artificial Intelligence — 26 citations into it
• Neuroscience — 11 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Micha Heilbron trusts overall

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

1. Karl J. Friston
2. Nathaniel J. Smith
3. Jeffrey Pennington
4. Michael W. Spratling
5. Moshe Bar
6. Roger Levy
7. Anil K. Seth
8. Peter Kok
9. David Mumford
10. T. Meyer

Who trusts Micha Heilbron overall

1. Charlotte Caucheteux

Papers from Micha Heilbron's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
8. GloVe: Global Vectors for Word Representation
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• A hierarchy of linguistic predictions during natural language comprehension (2020) — 320 citations
• How Do Expectations Shape Perception? (2018) — 810 citations