Marieke Mur
Cognitive Neuroscience · 2008
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 63 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 44 citations into it; #446 of 10,852 by trust here, #1,084 by citations
- Computer Vision and Pattern Recognition — 9 citations into it; #3,729 of 21,575 by trust here, #5,754 by citations
Whom Marieke Mur trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Serre
- James V. Haxby
- Nikolaus Kriegeskorte
- Tomaso A. Poggio
- Kendrick Norris Kay
- Nancy Kanwisher
Who trusts Marieke Mur overall
- Nikolaus Kriegeskorte
- Yonatan Belinkov
- James V. Haxby
- Grzegorz Chrupała
- Jörn Diedrichsen
- John-Dylan Haynes
- Seyed-Mahdi Khaligh-Razavi
- Grace W. Lindsay
- Michael Crawshaw
- Simon Kornblith
Papers from Marieke Mur's perspective
Ordered by how strongly the researchers Marieke Mur trusts endorse each paper. Same corpus, a different order for every researcher.
- Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex (Science)
- ImageNet classification with deep convolutional neural networks
- Decoding the visual and subjective contents of the human brain (Nature Neuroscience)
- Object recognition with features inspired by visual cortex
- Identifying natural images from human brain activity (Nature)
- A feedforward architecture accounts for rapid categorization
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Stimulus-selective properties of inferior temporal neurons in the macaque
Their papers
- Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience (2008) — 3,437 citations
- Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey (2008) — 1,389 citations