Sebastian Musslick

Cognitive Neuroscience · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 56 citations into it
• General Decision Sciences — 14 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Sebastian Musslick trusts overall

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

1. Geoffrey E. Hinton
2. J. Cohen
3. James L. McClelland
4. Matthew Botvinick
5. Richard S. Sutton
6. Yoshua Bengio
7. R. Caruana
8. Jonathan Baxter
9. David E. Rumelhart
10. Andrew Barto

Who trusts Sebastian Musslick overall

1. Timo Flesch
2. Andrew M. Saxe

Papers from Sebastian Musslick's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Reinforcement Learning: An Introduction

Their papers

• Efficiency of learning vs. processing: Towards a normative theory of multitasking (2020) — 22 citations
• Multitasking Capability Versus Learning Efficiency in Neural Network Architectures (2017) — 46 citations
• Toward a Rational and Mechanistic Account of Mental Effort. (2017) — 875 citations