Jacob M. Levenstein

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 Jacob M. Levenstein trusts

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

  1. Wes McKinney (in Artificial Intelligence)
  2. Raphael Vallat (in Artificial Intelligence)
  3. Michael L. Waskom (in Information Systems)

Papers from Jacob M. Levenstein's perspective

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

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

Their papers