Karalyn Patterson

Cognitive Neuroscience · 1995–2016

A researcher in the Science corpus: 14 papers; trusts 13 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 56 citations into it; #1,662 of 10,852 by trust here, #611 by citations
• Psychiatry and Mental health — 21 citations into it; #349 of 1,338 by trust here, #264 by citations
• Cognitive Science & Psychology — 16 citations into it
• Natural Language Processing — 12 citations into it
• Physiology — 11 citations into it
• Artificial Intelligence — 7 citations into it
• Model Architectures — 7 citations into it
• Neuroscience — 7 citations into it

Whom Karalyn Patterson trusts overall

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

1. James L. McClelland
2. David E. Rumelhart
3. J. G. Snodgrass
4. Geoffrey E. Hinton
5. Jerry A. Fodor
6. Timothy T. Rogers
7. Joseph T. Devlin
8. David C. Plaut
9. M. Vanderwart
10. Richard S. Sutton

Who trusts Karalyn Patterson overall

1. M. L. Lambon Ralph
2. Elizabeth Jefferies
3. Maya Visser
4. James L. McClelland
5. Friedemann Pulvermüller
6. Timothy T. Rogers
7. Anna C. Schapiro
8. Randall C. O’Reilly
9. Markus Kiefer
10. Chris McNorgan

Papers from Karalyn Patterson's perspective

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

1. Learning internal representations by error propagation
2. Finding Structure in Time
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning representations by back-propagating errors
5. Long Short-Term Memory
6. Basic objects in natural categories
7. ImageNet classification with deep convolutional neural networks
8. Understanding normal and impaired word reading: computational principles in quasi-regular domains.
9. A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity.
10. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations

Their papers

• Where do you know what you know? The representation of semantic knowledge in the human brain (2007) — 2,576 citations
• Large, colorful, or noisy? Attribute- and modality-specific activations during retrieval of perceptual attribute knowledge (2001) — 144 citations
• Classification of primary progressive aphasia and its variants (2011) — 4,362 citations
• Discrepancy between inner and overt speech: Implications for post-stroke aphasia and normal language processing (2011) — 66 citations
• The neural and computational bases of semantic cognition (2016) — 1,533 citations
• Semantic dementia: a unique clinicopathological syndrome. (2007) — 704 citations
• Structure and deterioration of semantic memory: a neuropsychological and computational investigation. (2004) — 930 citations
• Deficits in phonology and past-tense morphology: What's the connection? (2003) — 149 citations
• No Right to Speak? The Relationship between Object Naming and Semantic Impairment:Neuropsychological Evidence and a Computational Model (2001) — 393 citations
• Non-verbal semantic impairment in semantic dementia. (2000) — 814 citations
• A voxel‐based morphometry study of semantic dementia: Relationship between temporal lobe atrophy and semantic memory (2000) — 955 citations
• Atypical and typical presentations of Alzheimer's disease: a clinical, neuropsychological, neuroimaging and pathological study of 13 cases. (2000) — 640 citations
• Understanding normal and impaired word reading: computational principles in quasi-regular domains. (1996)
• Charting the progression in semantic dementia: implications for the organisation of semantic memory. (1995)