Nienke E. R. van Bueren

Cognitive Neuroscience · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 33 citations into it
• Statistics and Probability — 9 citations into it

Whom Nienke E. R. van Bueren trusts overall

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

1. Paul-Christian Burkner
2. Arnaud Delorme
3. Bradley Voytek
4. Dillan Cellier
5. C. Leys
6. György Buzsáki
7. Mark D. McDonnell
8. Lawrence M. Ward
9. Richard Gao
10. Jason M. Chein

Papers from Nienke E. R. van Bueren's perspective

Ordered by how strongly the researchers Nienke E. R. van Bueren trusts endorse each paper. Same corpus, a different order for every researcher.

1. What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology (PLoS Comput. Biol.)
2. Age-Related Changes in 1/f Neural Electrophysiological Noise (Journal of Neuroscience)
3. The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes (Nature Reviews Neuroscience)
4. Abnormal neural oscillations and synchrony in schizophrenia (Nature Reviews Neuroscience)
5. brms: An R Package for Bayesian Multilevel Models Using Stan
6. Working memory and mathematics in primary school children: A meta-analysis
7. Increasing Human Brain Excitability by Transcranial High-Frequency Random Noise Stimulation (Journal of Neuroscience)
8. Co-Increasing Neuronal Noise and Beta Power in the Developing Brain
9. Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis (NeuroImage)
10. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis.

Their papers

• Human neuronal excitation/inhibition balance explains and predicts neurostimulation induced learning benefits (2023)
• Predicting Math Ability Using Working Memory, Number Sense, and Neurophysiology in Children and Adults (2022)