Alexander G. Huth
Cognitive Neuroscience · 2010–2022
A researcher in the Science corpus: 7 papers; trusts 36 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 91 citations into it; #3,156 of 10,852 by trust here, #1,928 by citations
- Artificial Intelligence — 18 citations into it
- Natural Language Processing — 16 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Social Psychology — 12 citations into it
- Cultural Studies — 5 citations into it
- Neuroscience — 5 citations into it
Whom Alexander G. Huth trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Thomas Naselaris
- Uri Hasson
- George A. Miller
- Tom Michael Mitchell
- Shinji Nishimoto
- Kendrick Norris Kay
- Mark Jenkinson
- Nancy Kanwisher
- Edward H. Adelson
Who trusts Alexander G. Huth overall
- Nikolaus Kriegeskorte
- Haiguang Wen
- Jörn Diedrichsen
- Charlotte Caucheteux
- Mariya Toneva
- Tomoyasu Horikawa
- Simon B. Eickhoff
- Jerry Tang
- Tolga Cukur
- Samira Abnar
Papers from Alexander G. Huth's perspective
Ordered by how strongly the researchers Alexander G. Huth trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- GloVe: Global Vectors for Word Representation
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Natural speech reveals the semantic maps that tile human cerebral cortex (2016) — 1,473 citations
- Semantic reconstruction of continuous language from non-invasive brain recordings (2022) — 435 citations
- Are we ready for real-world neuroscience? (2018)
- The revolution will not be controlled: natural stimuli in speech neuroscience (2018)
- Attention During Natural Vision Warps Semantic Representation Across the Human Brain (2013) — 377 citations
- A continuous semantic space describes the representation of thousands of object and action categories across the human brain (2012) — 908 citations
- The Drift Diffusion Model can account for the accuracy and reaction time of value-based choices under high and low time pressure (2010) — 344 citations