A. Parr

Statistics and Probability · with Calabro · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. Parr trusts overall

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

  1. Alan Y. Chiang
  2. Simon N. Wood
  3. Thomas Donoghue
  4. Beatriz Luna

Papers from A. Parr's perspective

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

  1. Scale-free brain activity: past, present and future (Trends in Cognitive Sciences)
  2. Co-Increasing Neuronal Noise and Beta Power in the Developing Brain
  3. mediation: R Package for Causal Mediation Analysis
  4. Using the International 10-20 EEG System for Positioning of Transcranial Magnetic Stimulation (Brain Topography)
  5. Neuronal Oscillations in Cortical Networks (Science)
  6. FreeSurfer (NeuroImage)
  7. R: A language and environment for statistical computing.
  8. Coupling Between Neuronal Firing, Field Potentials, and fMRI in Human Auditory Cortex (Science)
  9. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms
  10. Theta oscillations provide temporal windows for local circuit computation in the entorhinal-hippocampal loop

Their papers