C. Wilkinson

Cognitive Neuroscience · with Nelson · 2018–2026

A researcher in the Science corpus: 13 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 227 citations into it
• Developmental Neuroscience — 74 citations into it
• Cellular and Molecular Neuroscience — 51 citations into it
• Signal Processing — 32 citations into it
• Experimental and Cognitive Psychology — 12 citations into it
• Developmental and Educational Psychology — 9 citations into it
• Radiology, Nuclear Medicine and Imaging — 9 citations into it
• Education — 8 citations into it

Whom C. Wilkinson trusts overall

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

1. Irene Winkler
2. Bradley Voytek
3. Wolfgang Klimesch
4. Dillan Cellier
5. Arnaud Delorme
6. György Buzsáki
7. Thomas Donoghue
8. L. J. Gabard-Durnam
9. Scott Makeig
10. Richard Gao

Who trusts C. Wilkinson overall

1. Haerin Chung

Papers from C. Wilkinson's perspective

Ordered by how strongly the researchers C. Wilkinson trusts endorse each paper. Same corpus, a different order for every researcher.

1. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. (Journal of Neuroscience Methods)
2. Neuronal Oscillations in Cortical Networks (Science)
3. Scale-free brain activity: past, present and future (Trends in Cognitive Sciences)
4. Correlated neuronal activity and the flow of neural information (Nature Reviews Neuroscience)
5. EEG alpha rhythm in infants.
6. BCILAB: a platform for brain–computer interface development (Journal of Neural Engineering)
7. The temporal structures and functional significance of scale-free brain activity (Neuron)
8. The development of theta and alpha neural oscillations from ages 3 to 24 years (Developmental Cognitive Neuroscience)
9. ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features. (Psychophysiology)
10. Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis (NeuroImage)

Their papers

• A human electrophysiological signature of Fragile X pathophysiology is shared in V1 of Fmr1-/y mice (2026)
• Resting state aperiodic and periodic EEG activity in preschool-aged autistic children: differences from neurotypical peers and links to language skills (2026)
• Income insufficiency impacts early brain development in infants facing increased psychosocial adversity: A network-based approach (2026)
• Beyond Alpha Power: What Multiple Alpha Peaks Can Reveal About Autism Neurobiology. (2026)
• Alterations in aperiodic and periodic EEG activity in young children with Down syndrome (2024)
• Longitudinal trajectories of aperiodic EEG activity in early to middle childhood (2024)
• Developmental trajectories of EEG aperiodic and periodic components in children 2–44 months of age (2024)
• Evaluating early EEG correlates of restricted and repetitive behaviors for toddlers with or without autism (2024)
• Alterations in aperiodic and periodic EEG activity in young children with Down syndrome (2024)
• Developmental trajectories of EEG aperiodic and periodic power: Implications for understanding the timing of thalamocortical development during infancy (2023)
• Developmental trajectories of EEG aperiodic and periodic power: Implications for understanding the timing of thalamocortical development during infancy (2023)
• Associations between EEG trajectories, family income, and cognitive abilities over the first two years of life (2023)
• The Harvard Automated Processing Pipeline for Electroencephalography (HAPPE): Standardized Processing Software for Developmental and High-Artifact Data (2018) — 470 citations