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Cortical dynamics during naturalistic sensory stimulations: experiments and models.

dc.contributor.author Mazzoni, Alberto
dc.contributor.author Brunel, Nicolas
dc.contributor.author Cavallari, Stefano
dc.contributor.author Logothetis, Nikos K
dc.contributor.author Panzeri, Stefano
dc.date.accessioned 2021-06-06T18:51:30Z
dc.date.available 2021-06-06T18:51:30Z
dc.date.issued 2011-01
dc.identifier S0928-4257(11)00017-9
dc.identifier.issn 0928-4257
dc.identifier.issn 1769-7115
dc.identifier.uri https://hdl.handle.net/10161/23363
dc.description.abstract We report the results of our experimental and theoretical investigations of the neural response dynamics in primary visual cortex (V1) during naturalistic visual stimulation. We recorded Local Field Potentials (LFPs) and spiking activity from V1 of anaesthetized macaques during binocular presentation of Hollywood color movies. We analyzed these recordings with information theoretic methods, and found that visual information was encoded mainly by two bands of LFP responses: the network fluctuations measured by the phase and power of low-frequency (less than 12 Hz) LFPs; and fast gamma-range (50-100 Hz) oscillations. Both the power and phase of low frequency LFPs carried information largely complementary to that carried by spikes, whereas gamma range oscillations carried information largely redundant to that of spikes. To interpret these results within a quantitative theoretical framework, we then simulated a sparsely connected recurrent network of excitatory and inhibitory neurons receiving slowly varying naturalistic inputs, and we determined how the LFPs generated by the network encoded information about the inputs. We found that this simulated recurrent network reproduced well the experimentally observed dependency of LFP information upon frequency. This network encoded the overall strength of the input into the power of gamma-range oscillations generated by inhibitory-excitatory neural interactions, and encoded slow variations in the input by entraining the network LFP at the corresponding frequency. This dynamical behavior accounted quantitatively for the independent information carried by high and low frequency LFPs, and for the experimentally observed cross-frequency coupling between phase of slow LFPs and the power of gamma LFPs. We also present new results showing that the model's dynamics also accounted for the extra visual information that the low-frequency LFP phase of spike firing carries beyond that carried by spike rates. Overall, our results suggest biological mechanisms by which cortex can multiplex information about naturalistic sensory environments.
dc.language eng
dc.publisher Elsevier BV
dc.relation.ispartof Journal of physiology, Paris
dc.relation.isversionof 10.1016/j.jphysparis.2011.07.014
dc.subject Visual Cortex
dc.subject Neurons
dc.subject Animals
dc.subject Macaca
dc.subject Electroencephalography
dc.subject Photic Stimulation
dc.subject Visual Perception
dc.subject Evoked Potentials, Visual
dc.subject Action Potentials
dc.subject Models, Neurological
dc.subject Brain Waves
dc.title Cortical dynamics during naturalistic sensory stimulations: experiments and models.
dc.type Journal article
duke.contributor.id Brunel, Nicolas|0785756
dc.date.updated 2021-06-06T18:51:29Z
pubs.begin-page 2
pubs.end-page 15
pubs.issue 1-3
pubs.organisational-group School of Medicine
pubs.organisational-group Physics
pubs.organisational-group Neurobiology
pubs.organisational-group Duke Institute for Brain Sciences
pubs.organisational-group Center for Cognitive Neuroscience
pubs.organisational-group Duke
pubs.organisational-group Trinity College of Arts & Sciences
pubs.organisational-group Basic Science Departments
pubs.organisational-group University Institutes and Centers
pubs.organisational-group Institutes and Provost's Academic Units
pubs.publication-status Published
pubs.volume 105


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