期刊
JOURNAL OF NEUROSCIENCE
卷 36, 期 14, 页码 4121-4135出版社
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.2502-15.2016
关键词
correlations; LFP; model; population; prediction; variability
资金
- National Science Foundation Grants [IIS-0904430/CNS-103331, IIS-1350990]
- Canadian Institutes of Health Research Grant [MOP-115178]
- National Institutes of Health Grant [F32-EY-023921]
- Canadian Graduate Scholarship [121719]
- William Hodos Dissertation Research Assistantship
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [1350990] Funding Source: National Science Foundation
The responses of sensory neurons can be quite different to repeated presentations of the same stimulus. Here, we demonstrate a direct link between the trial-to-trial variability of cortical neuron responses and network activity that is reflected in local field potentials (LFPs). Spikes and LFPs were recorded with a multielectrode array from the middle temporal (MT) area of the visual cortex of macaques during the presentation of continuous optic flow stimuli. A maximum likelihood-based modeling framework was used to predict single-neuron spiking responses using the stimulus, the LFPs, and the activity of other recorded neurons. MT neuron responses were strongly linked to gamma oscillations (maximum at 40 Hz) as well as to lower-frequency delta oscillations (1-4 Hz), with consistent phase preferences across neurons. The predicted modulation associated with the LFP was largely complementary to that driven by visual stimulation, as well as the activity of other neurons, and accounted for nearly half of the trial-to-trial variability in the spiking responses. Moreover, the LFP model predictions accurately captured the temporal structure of noise correlations between pairs of simultaneously recorded neurons, and explained the variation in correlation magnitudes observed across the population. These results therefore identify signatures of network activity related to the variability of cortical neuron responses, and suggest their central role in sensory cortical function.
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