Arjun R. Khanna
Cognitive Neuroscience · 2014
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 15 citations into it; #10,666 of 10,852 by trust here, #9,185 by citations
Whom Arjun R. Khanna trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Roberto D. Pascual-Marqui
- Robert Tibshirani
- Joshua Kahan
- Denis Brunet
- N. Kannathal
- C. Michel
- Francesco Musso
- Han Yuan
- Micah M. Murray
- Vinod Menon
Who trusts Arjun R. Khanna overall
Papers from Arjun R. Khanna's perspective
Ordered by how strongly the researchers Arjun R. Khanna trusts endorse each paper. Same corpus, a different order for every researcher.
- Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
- Electrophysiological signatures of resting state networks in the human brain (Proceedings of the National Academy of Sciences of the United States of America)
- Functional connectivity in the resting brain: A network analysis of the default mode hypothesis (Proceedings of the National Academy of Sciences of the United States of America)
- Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses
- Understanding DCM: Ten simple rules for the clinician (NeuroImage)
- Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. (Methods and Findings in Experimental and Clinical Pharmacology)
- Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks (NeuroImage)
- Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging. (Cerebral Cortex)
- Millisecond by Millisecond, Year by Year: Normative EEG Microstates and Developmental Stages (NeuroImage)
- Cluster Validation by Prediction Strength
Their papers
- Microstates in Resting-State EEG: Current Status and Future Directions (2014) — 857 citations