4.7 Article

Endogenous Sequential Cortical Activity Evoked by Visual Stimuli

Journal

JOURNAL OF NEUROSCIENCE
Volume 35, Issue 23, Pages 8813-8828

Publisher

SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.5214-14.2015

Keywords

graph theory; in vivo calcium imaging; multidimensional population vectors; neuronal ensembles; primary visual cortex; two-photon microscopy

Categories

Funding

  1. National Eye Institute-National Institutes of Health [DP1EY024503, R01EY011787, F32EY022579]
  2. Defense Advanced Research Projects Agency-Department of Defense [W91NF-14-1-0269]
  3. U.S. Army Research Laboratory
  4. U.S. Army Research Office [W911NF-12-1-0594]

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Although the functional properties of individual neurons in primary visual cortex have been studied intensely, little is known about how neuronal groups could encode changing visual stimuli using temporal activity patterns. To explore this, we used in vivo two-photon calcium imaging to record the activity of neuronal populations in primary visual cortex of awake mice in the presence and absence of visual stimulation. Multidimensional analysis of the network activity allowed us to identify neuronal ensembles defined as groups of cells firing in synchrony. These synchronous groups of neurons were themselves activated in sequential temporal patterns, which repeated at much higher proportions than chance and were triggered by specific visual stimuli such as natural visual scenes. Interestingly, sequential patterns were also present in recordings of spontaneous activity without any sensory stimulation and were accompanied by precise firing sequences at the single-cell level. Moreover, intrinsic dynamics could be used to predict the occurrence of future neuronal ensembles. Our data demonstrate that visual stimuli recruit similar sequential patterns to the ones observed spontaneously, consistent with the hypothesis that already existing Hebbian cell assemblies firing in predefined temporal sequences could be the microcircuit substrate that encodes visual percepts changing in time.

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