Comparing the feature selectivity of the gamma-band of the local fi eld potential and the underlying spiking activity in primate visual cortex

Nikos Logothetis, Philipp Berens, Georgios A. Keliris, Alexander S. Ecker, Nikos K. Logothetis, Andreas S. Tolias

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The local field potential (LFP), comprised of low-frequency extra-cellular voltage fluctuations, has been used extensively to study the mechanisms of brain function. In particular, oscillations in the gamma-band (30-90 Hz) are ubiquitous in the cortex of many species during various cognitive processes. Surprisingly little is known about the underlying biophysical processes generating this signal. Here, we examine 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 (V1) of awake, behaving macaques. The spatial organization of orientation tuning and ocular dominance in this area provides an excellent opportunity to study this question, because orientation tuning is organized at a scale around one order of magnitude finer than the size of ocular dominance columns. While we find a surprisingly weak correlation between the preferred orientation of multi-unit activity and gamma-band LFP recorded on the same tetrode, there is a strong correlation between the ocular preferences of both signals. Given the spatial arrangement of orientation tuning and ocular dominance, this leads us to conclude that the gamma-band of the LFP seems to sample an area considerably larger than orientation columns. Rather, its spatial resolution lies at the scale of ocular dominance columns. © 2008 Berens, Keliris, Ecker, Logothetis and Tolias.
    Original languageEnglish
    Article number2
    JournalFrontiers in Systems Neuroscience
    Volume2
    DOIs
    Publication statusPublished - 17 Jun 2008

    Keywords

    • Feature selectivity
    • Local field potential
    • Macaque
    • Multi unit activity
    • Primary visual cortex
    • Spatial resolution

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