Andrew C. Connolly

Cognitive Neuroscience · 2011–2016

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 77 citations into it; #3,520 of 10,852 by trust here, #3,544 by citations
• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 10 citations into it; #15,900 of 35,345 by trust here, #24,417 by citations
• Neuroscience — 7 citations into it
• Molecular Biology — 6 citations into it
• Signal Processing — 6 citations into it

Whom Andrew C. Connolly trusts overall

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

1. Nikolaus Kriegeskorte
2. John-Dylan Haynes
3. James V. Haxby
4. Thomas Naselaris
5. Chih-Jen Lin
6. David D. Cox
7. Kenneth A. Norman
8. Kendrick Norris Kay
9. Yukiyasu Kamitani
10. Geraint E. Rees

Who trusts Andrew C. Connolly overall

1. John-Dylan Haynes
2. Christoph Kayser
3. Nikolaus Kriegeskorte
4. Stefano Panzeri
5. Marcie L. King
6. James V. Haxby
7. Robin A. A. Ince
8. Tim C Kietzmann

Papers from Andrew C. Connolly's perspective

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

1. Identifying natural images from human brain activity (Nature)
2. Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex (NeuroImage)
3. Predicting Human Brain Activity Associated with the Meanings of Nouns (Science)
4. The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception
5. Neuroimaging: Decoding mental states from brain activity in humans (Nature Reviews Neuroscience)
6. Beyond mind-reading: multi-voxel pattern analysis of fMRI data. (Trends in Cognitive Sciences)
7. Decoding the visual and subjective contents of the human brain (Nature Neuroscience)
8. Reading hidden intentions in the human brain. (Current Biology)
9. Machine learning classifiers and fMRI: a tutorial overview
10. Information-based functional brain mapping. (Proceedings of the National Academy of Sciences of the United States of America)

Their papers

• CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave (2016) — 597 citations
• Decoding neural representational spaces using multivariate pattern analysis. (2014) — 724 citations
• A common, high-dimensional model of the representational space in human ventral temporal cortex (2011) — 709 citations