Vadim V. Nikulin
Cognitive Neuroscience · 2005–2021
A researcher in the Science corpus: 7 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 54 citations into it; #4,826 of 10,852 by trust here, #2,549 by citations
- Signal Processing — 14 citations into it
- Radiology, Nuclear Medicine and Imaging — 5 citations into it
Whom Vadim V. Nikulin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Clive W. J. Granger
- Anil K. Seth
- Alard Roebroeck
- Arnold Neumaier
- Jürgen Kayser
- Yossi Rubner
- Pedro A. Valdes-Sosa
- Fabio Babiloni
Who trusts Vadim V. Nikulin overall
Papers from Vadim V. Nikulin's perspective
Ordered by how strongly the researchers Vadim V. Nikulin trusts endorse each paper. Same corpus, a different order for every researcher.
- Investigating causal relations by econometric models and cross-spectral methods
- Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance (Biological cybernetics)
- Partial directed coherence: a new concept in neural structure determination (Biological cybernetics)
- Mapping directed influence over the brain using Granger causality and fMRI (NeuroImage)
- Electromagnetic brain mapping (IEEE Signal Processing Magazine)
- Interpreting magnetic fields of the brain: minimum norm estimates (Medical and Biological Engineering and Computing)
- The elusive concept of brain connectivity (NeuroImage)
- A MATLAB toolbox for Granger causal connectivity analysis. (Journal of Neuroscience Methods)
- Kernel method for nonlinear granger causality. (Physical Review Letters)
- Identifying true brain interaction from EEG data using the imaginary part of coherency. (Clinical Neurophysiology)
Their papers
- Functional links between motor and language systems (2005) — 758 citations
- A critical assessment of connectivity measures for EEG data: A simulation study (2013) — 355 citations
- Separating Neural Oscillations from Aperiodic 1/f Activity: Challenges and Recommendations (2021)
- Ongoing neural oscillations influence behavior and sensory representations by suppressing neuronal excitability (2021)
- Detrended Fluctuation Analysis: A Scale-Free View on Neuronal Oscillations (2012) — 511 citations
- A novel method for reliable and fast extraction of neuronal EEG/MEG oscillations on the basis of spatio-spectral decomposition (2011)
- Robustly estimating the flow direction of information in complex physical systems. (2007)