Alicia J. Campbell

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alicia J. Campbell trusts overall

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

  1. Wes McKinney
  2. Michael L. Waskom
  3. Raphael Vallat
  4. Yoav Benjamini
  5. Wolfgang Klimesch
  6. Thomas Donoghue
  7. Mainak Jas
  8. Alexandre Gramfort
  9. Y. Hochberg
  10. Bradley Voytek

Papers from Alicia J. Campbell's perspective

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

  1. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms
  2. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  3. Data Structures for Statistical Computing in Python
  4. Matplotlib: A 2D Graphics Environment
  5. Autoreject: Automated artifact rejection for MEG and EEG data (NeuroImage)
  6. Control of goal-directed and stimulus-driven attention in the brain
  7. α-Band Electroencephalographic Activity over Occipital Cortex Indexes Visuospatial Attention Bias and Predicts Visual Target Detection (Journal of Neuroscience)
  8. Inferring Synaptic Excitation/Inhibition Balance from Field Potentials (bioRxiv)
  9. Array programming with NumPy
  10. EEG alpha oscillations: the inhibition-timing hypothesis. (Brain Research Reviews)

Their papers