Habib Benali
Cognitive Neuroscience · 2002–2018
A researcher in the Science corpus: 17 papers; trusts 28 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 166 citations into it; #2,310 of 10,852 by trust here, #746 by citations
- Radiology, Nuclear Medicine and Imaging — 81 citations into it; #1,022 of 3,265 by trust here, #825 by citations
- Physiology — 69 citations into it
- Computer Vision and Pattern Recognition — 26 citations into it
- Experimental and Cognitive Psychology — 26 citations into it
- Cellular and Molecular Neuroscience — 24 citations into it; #1,807 of 2,998 by trust here, #1,827 by citations
- Molecular Biology — 24 citations into it
- Artificial Intelligence — 22 citations into it
Whom Habib Benali trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Julien Doyon
- Stephen M. Smith
- Karl J. Friston
- Michael D. Greicius
- Leslie G. Ungerleider
- Christian F. Beckmann
- Jessica S. Damoiseaux
- Aapo Hyvärinen
- Vladimir Naumovich Vapni
- John Ashburner
Who trusts Habib Benali overall
- Eran Dayan
- Jan Born
- Anusha Nagabandi
- Aymeric Guillot
- Richard F. Betzel
- Olaf Sporns
- Yuhui Du
- Bilwaj Gaonkar
- Leonardo G. Cohen
- J. Lanciego
Papers from Habib Benali's perspective
Ordered by how strongly the researchers Habib Benali trusts endorse each paper. Same corpus, a different order for every researcher.
- Voxel-based morphometry--the methods.
- The Nature of Statistical Learning Theory
- An Information-Maximization Approach to Blind Separation and Blind Deconvolution
- Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- fMRI resting state networks define distinct modes of long-distance interactions in the human brain (NeuroImage)
- Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate (NeuroImage)
- Normalized cuts and image segmentation
- A voxel-based morphometric study of ageing in 465 normal adult human brains (5th IEEE EMBS International Summer School on Biomedical Imaging, 2002.)
- Correspondence of the brain's functional architecture during activation and rest
Their papers
- Contributions of the basal ganglia and functionally related brain structures to motor learning. (2009) — 739 citations
- Consolidation alters motor sequence-specific distributed representations (2018) — 410 citations
- Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research (2017) — 2,023 citations
- Preclinical Alzheimer’s disease: Definition, natural history, and diagnostic criteria (2016) — 1,741 citations
- Sleep spindles predict neural and behavioral changes in motor sequence consolidation (2013) — 111 citations
- Spatial regularization of SVM for the detection of diffusion alterations associated with stroke outcome (2011) — 85 citations
- Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database (2011) — 1,037 citations
- Brain plasticity related to the consolidation of motor sequence learning and motor adaptation (2010) — 286 citations
- Fully Automatic Hippocampus Segmentation and Classification in Alzheimer’s Disease and Mild Cognitive Impairment Applied on Data from ADNI (2009) — 361 citations
- Multi-level bootstrap analysis of stable clusters in resting-state fMRI (2009) — 337 citations
- CORSICA: correction of structured noise in fMRI by automatic identification of ICA components. (2007) — 212 citations
- Partial correlation for functional brain interactivity investigation in functional MRI (2006) — 512 citations
- Reorganization and plasticity in the adult brain during learning of motor skills (2005) — 1,035 citations
- Simulation of anisotropic growth of low‐grade gliomas using diffusion tensor imaging (2005) — 305 citations
- Distinct basal ganglia territories are engaged in early and advanced motor sequence learning. (2005) — 616 citations
- ICA of fMRI Group Study Data (2002) — 143 citations
- Multivariate Model Specification for fMRI Data (2002) — 66 citations