Richard Gao

Cognitive Neuroscience · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Gao trusts overall

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

  1. Emilio Salinas
  2. Tim P. Vogels
  3. György Buzsáki
  4. Alain Destexhe
  5. Biyu J. He
  6. Jeremy R. Manning
  7. Mingshan Xue
  8. Roy Mukamel
  9. Bradley Voytek
  10. Terrence J. Sejnowski

Who trusts Richard Gao overall

  1. Justin Riddle
  2. C. Wilkinson
  3. Thomas Donoghue
  4. Michael Preston
  5. Dillan Cellier
  6. Marius Tröndle
  7. Nienke E. R. van Bueren
  8. M. Vandewouw
  9. Haerin Chung
  10. Shane D. McKeon

Papers from Richard Gao's perspective

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

  1. Coupling Between Neuronal Firing, Field Potentials, and fMRI in Human Auditory Cortex (Science)
  2. Neuronal Oscillations in Cortical Networks (Science)
  3. Large-scale recording of neuronal ensembles (Nature Neuroscience)
  4. Power-Law Scaling in the Brain Surface Electric Potential (PLoS Comput. Biol.)
  5. Broadband shifts in LFP power spectra are correlated with single-neuron spiking in humans (Journal of Neuroscience)
  6. Correlated neuronal activity and the flow of neural information (Nature Reviews Neuroscience)
  7. The functional role of cross-frequency coupling (Trends in Cognitive Sciences)
  8. Theta oscillations provide temporal windows for local circuit computation in the entorhinal-hippocampal loop
  9. Gating Multiple Signals through Detailed Balance of Excitation and Inhibition in Spiking Networks (Nature Neuroscience)
  10. Scikit-learn: Machine Learning in Python

Their papers