Does the information in the phase of low frequency LFP reflect the low frequency envelope of local spike rates?

Sohail Siadatnejad, Stefano Panzeri, Christoph Kayser, Nikos K Logothetis, Marcelo A Montemurro

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    Recently, it has been shown that when the timing of spikes is measured relative to the phase of the cortical local field potentials (LFP), spikes can carry substantial more information about an external stimulus [1]. Experimental studies in sensory cortices of macaque have shown that the extra information obtained with such phase-of-firing codes above that in the firing rate alone ranges from 55% in primary visual cortex [1] to more than 100% in primary auditory cortex [2]. Here, we use a mathematical model that relates local spike trains and the resulting LFP, to explain the emergence of the phase-of-firing codes in cortex. The model is based on the one proposed in [3] and incorporates two types of integration over the spiking activity: i) a time convolution that results from the filtering properties of neural structures [4], which embeds history effects in LFP from past spiking activity, and ii) an integration step over the activity of neurons in the neighbourhood of the measuring electrode.When the spikes recorded from macaque primary visual cortex were used to synthesize the LFP, the model could reproduce the phase-of-firing information found using the real LFP, as shown in Figure 1. This suggests that an important component of phase-of-firing information originates from the surrounding neural population and past spiking activity. The next question that arises is what is the relative contribution of the neuron population size and the length of the firing rate history embedded in the LFP. We are currently investigating this question by parametrically varying both the population size and time integration ranges in generating the synthetic LFP.
    Original languageEnglish
    Title of host publicationBMC Neuroscience 2011, 12(Suppl 1)
    Place of PublicationStockholm, Sweden
    PublisherSpringer Nature
    Number of pages1
    Publication statusPublished - 18 Jul 2011
    EventTwentieth Annual Computational Neuroscience Meeting: CNS*2011 - Stockholm, Sweden
    Duration: 23 Jul 201128 Jul 2011


    ConferenceTwentieth Annual Computational Neuroscience Meeting: CNS*2011
    CityStockholm, Sweden


    • LFP
    • information theory
    • phase of firing
    • spike train analysis
    • cortex


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