Jeanette A. Mumford
Cognitive Neuroscience · 2011–2019
A researcher in the Science corpus: 4 papers; trusts 46 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 103 citations into it; #7,960 of 10,852 by trust here, #3,487 by citations
- Radiology, Nuclear Medicine and Imaging — 59 citations into it
- Statistics and Probability — 21 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Signal Processing — 7 citations into it
- Artificial Intelligence — 6 citations into it; #29,098 of 35,345 by trust here, #33,294 by citations
- Biophysics — 5 citations into it
Whom Jeanette A. Mumford trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark William Woolrich
- Eric R. Ziegel
- John Ashburner
- Stephen M. Smith
- Jesse Rissman
- Karl J. Friston
- Nikolaus Kriegeskorte
- David D. Cox
- James V. Haxby
- Mark Jenkinson
Who trusts Jeanette A. Mumford overall
- Benjamin Floyd
- R. Barker
- David Berron
- Valeriy Avanesov
- Martin N. Hebart
- Tyler Santander
- Marie St-Laurent
Papers from Jeanette A. Mumford's perspective
Ordered by how strongly the researchers Jeanette A. Mumford trusts endorse each paper. Same corpus, a different order for every researcher.
- Correspondence of the brain's functional architecture during activation and rest
- Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex (Science)
- Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function (Proceedings of the National Academy of Sciences of the United States of America)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate (NeuroImage)
- Neurophysiological investigation of the basis of the fMRI signal (Nature)
- Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data (NeuroImage)
- To Smooth or Not to Smooth?: Bias and Efficiency in fMRI Time-Series Analysis
- Circular analysis in systems neuroscience – the dangers of double dipping (Nature Neuroscience)
- ImageNet classification with deep convolutional neural networks
Their papers
- Variability in the analysis of a single neuroimaging dataset by many teams (2019) — 901 citations
- Functional system and areal organization of a highly sampled individual human brain (2015) — 939 citations
- Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses (2011) — 740 citations
- Handbook of Functional MRI Data Analysis: Index (2011) — 429 citations