Frequency-Band Coupling in Surface EEG Reflects Spiking Activity in Monkey Visual Cortex

@article{Whittingstall2009FrequencyBandCI,
  title={Frequency-Band Coupling in Surface EEG Reflects Spiking Activity in Monkey Visual Cortex},
  author={Kevin Whittingstall and Nikos K. Logothetis},
  journal={Neuron},
  year={2009},
  volume={64},
  pages={281-289}
}

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References

SHOWING 1-10 OF 56 REFERENCES
An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex.
TLDR
It is proposed that the hierarchical organization of ambient oscillatory activity allows auditory cortex to structure its temporal activity pattern so as to optimize the processing of rhythmic inputs.
Comparing the Feature Selectivity of the Gamma-Band of the Local Field Potential and the Underlying Spiking Activity in Primate Visual Cortex
TLDR
This work examines the relationship of the local field potential to the activity of localized populations of neurons by simultaneously recording spiking activity and LFP from the primary visual cortex of awake, behaving macaques to conclude that the gamma-band of the LFP seems to sample an area considerably larger than orientation columns.
Neurophysiology of the BOLD fMRI Signal in Awake Monkeys
High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
TLDR
The results indicate that transient coupling between low- and high-frequency brain rhythms coordinates activity in distributed cortical areas, providing a mechanism for effective communication during cognitive processing in humans.
Low-Frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information
TLDR
It is found that the most informative LFP frequency ranges were 1–8 and 60–100 Hz, as well as strong positive signal correlation within high-gamma LFPs, suggesting that high-Gamma L FPs and spikes are generated within the same network.
Inferring spike trains from local field potentials.
TLDR
It is found that in the primary visual cortex of monkeys, spikes can indeed be inferred from LFPs, at least with moderate success, and the low-frequency structure in spike trains can be inferred with reasonable accuracy, whereas exact spike positions are not reliably predicted.
Grouping of brain rhythms in corticothalamic systems
...
...