Jan-Mathijs Schoffelen

Cognitive Neuroscience · 2006–2020

A researcher in the Science corpus: 13 papers; trusts 38 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 168 citations into it; #745 of 10,852 by trust here, #235 by citations
• Cellular and Molecular Neuroscience — 54 citations into it; #1,147 of 2,998 by trust here, #374 by citations
• Artificial Intelligence — 30 citations into it
• Signal Processing — 22 citations into it
• Radiology, Nuclear Medicine and Imaging — 12 citations into it
• Statistics and Probability — 5 citations into it

Whom Jan-Mathijs Schoffelen trusts overall

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

1. Guido Nolte
2. Pascal Fries
3. Olivier David
4. Alfons Schnitzler
5. Robert Oostenveld
6. Sylvain Baillet
7. Olaf Sporns
8. Martin A. Vinck
9. Satu Palva
10. Karl J. Friston

Who trusts Jan-Mathijs Schoffelen overall

1. Matthew J. Brookes
2. Pascal Fries
3. Martin A. Vinck
4. Alexandre Gramfort
5. André Moraes Bastos
6. Mark William Woolrich
7. Michael W. Cole
8. Giles L. Colclough
9. Xiao-Jing Wang
10. Supratim Ray

Papers from Jan-Mathijs Schoffelen's perspective

Ordered by how strongly the researchers Jan-Mathijs Schoffelen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Partial directed coherence: a new concept in neural structure determination (Biological cybernetics)
2. Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention (Science)
3. Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance (Biological cybernetics)
4. Neurophysiological investigation of the basis of the fMRI signal (Nature)
5. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. (Journal of Neuroscience Methods)
6. Interpreting magnetic fields of the brain: minimum norm estimates (Medical and Biological Engineering and Computing)
7. Identifying true brain interaction from EEG data using the imaginary part of coherency. (Clinical Neurophysiology)
8. Oscillatory gamma activity in humans and its role in object representation.
9. Electromagnetic brain mapping (IEEE Signal Processing Magazine)
10. Modulation of Neuronal Interactions Through Neuronal Synchronization (Science)

Their papers

• A hierarchy of linguistic predictions during natural language comprehension (2020) — 320 citations
• Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research (2020)
• MEG-BIDS, the brain imaging data structure extended to magnetoencephalography (2018)
• Integrated analysis of anatomical and electrophysiological human intracranial data (2017)
• Alpha-beta and gamma rhythms subserve feedback and feedforward influences among human visual cortical areas (2016) — 702 citations
• A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls (2016) — 1,280 citations
• Visual areas exert feedforward and feedback influences through distinct frequency channels (2014) — 1,270 citations
• Attentional Stimulus Selection through Selective Synchronization between Monkey Visual Areas (2012) — 740 citations
• FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data (2010) — 10,060 citations
• Source connectivity analysis with MEG and EEG (2009) — 869 citations
• Prestimulus Oscillatory Activity in the Alpha Band Predicts Visual Discrimination Ability (2008) — 864 citations
• Modulation of Neuronal Interactions Through Neuronal Synchronization (2007) — 1,394 citations
• Localizing human visual gamma-band activity in frequency, time and space (2006) — 473 citations