Cortico-cortical communication dynamics

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Cortico-cortical communication dynamics. / Roland, Per E; Hilgetag, Claus C; Deco, Gustavo.

In: Frontiers in Systems Neuroscience, Vol. 8, 19, 2014.

Research output: Contribution to journalReviewResearchpeer-review

Harvard

Roland, PE, Hilgetag, CC & Deco, G 2014, 'Cortico-cortical communication dynamics', Frontiers in Systems Neuroscience, vol. 8, 19. https://doi.org/10.3389/fnsys.2014.00019

APA

Roland, P. E., Hilgetag, C. C., & Deco, G. (2014). Cortico-cortical communication dynamics. Frontiers in Systems Neuroscience, 8, [19]. https://doi.org/10.3389/fnsys.2014.00019

Vancouver

Roland PE, Hilgetag CC, Deco G. Cortico-cortical communication dynamics. Frontiers in Systems Neuroscience. 2014;8. 19. https://doi.org/10.3389/fnsys.2014.00019

Author

Roland, Per E ; Hilgetag, Claus C ; Deco, Gustavo. / Cortico-cortical communication dynamics. In: Frontiers in Systems Neuroscience. 2014 ; Vol. 8.

Bibtex

@article{829bd465d25e45499007b2ab27f9913b,
title = "Cortico-cortical communication dynamics",
abstract = "In principle, cortico-cortical communication dynamics is simple: neurons in one cortical area communicate by sending action potentials that release glutamate and excite their target neurons in other cortical areas. In practice, knowledge about cortico-cortical communication dynamics is minute. One reason is that no current technique can capture the fast spatio-temporal cortico-cortical evolution of action potential transmission and membrane conductances with sufficient spatial resolution. A combination of optogenetics and monosynaptic tracing with virus can reveal the spatio-temporal cortico-cortical dynamics of specific neurons and their targets, but does not reveal how the dynamics evolves under natural conditions. Spontaneous ongoing action potentials also spread across cortical areas and are difficult to separate from structured evoked and intrinsic brain activity such as thinking. At a certain state of evolution, the dynamics may engage larger populations of neurons to drive the brain to decisions, percepts and behaviors. For example, successfully evolving dynamics to sensory transients can appear at the mesoscopic scale revealing how the transient is perceived. As a consequence of these methodological and conceptual difficulties, studies in this field comprise a wide range of computational models, large-scale measurements (e.g., by MEG, EEG), and a combination of invasive measurements in animal experiments. Further obstacles and challenges of studying cortico-cortical communication dynamics are outlined in this critical review. ",
author = "Roland, {Per E} and Hilgetag, {Claus C} and Gustavo Deco",
year = "2014",
doi = "10.3389/fnsys.2014.00019",
language = "English",
volume = "8",
journal = "Frontiers in Systems Neuroscience",
issn = "1662-5137",
publisher = "Frontiers Research Foundation",

}

RIS

TY - JOUR

T1 - Cortico-cortical communication dynamics

AU - Roland, Per E

AU - Hilgetag, Claus C

AU - Deco, Gustavo

PY - 2014

Y1 - 2014

N2 - In principle, cortico-cortical communication dynamics is simple: neurons in one cortical area communicate by sending action potentials that release glutamate and excite their target neurons in other cortical areas. In practice, knowledge about cortico-cortical communication dynamics is minute. One reason is that no current technique can capture the fast spatio-temporal cortico-cortical evolution of action potential transmission and membrane conductances with sufficient spatial resolution. A combination of optogenetics and monosynaptic tracing with virus can reveal the spatio-temporal cortico-cortical dynamics of specific neurons and their targets, but does not reveal how the dynamics evolves under natural conditions. Spontaneous ongoing action potentials also spread across cortical areas and are difficult to separate from structured evoked and intrinsic brain activity such as thinking. At a certain state of evolution, the dynamics may engage larger populations of neurons to drive the brain to decisions, percepts and behaviors. For example, successfully evolving dynamics to sensory transients can appear at the mesoscopic scale revealing how the transient is perceived. As a consequence of these methodological and conceptual difficulties, studies in this field comprise a wide range of computational models, large-scale measurements (e.g., by MEG, EEG), and a combination of invasive measurements in animal experiments. Further obstacles and challenges of studying cortico-cortical communication dynamics are outlined in this critical review.

AB - In principle, cortico-cortical communication dynamics is simple: neurons in one cortical area communicate by sending action potentials that release glutamate and excite their target neurons in other cortical areas. In practice, knowledge about cortico-cortical communication dynamics is minute. One reason is that no current technique can capture the fast spatio-temporal cortico-cortical evolution of action potential transmission and membrane conductances with sufficient spatial resolution. A combination of optogenetics and monosynaptic tracing with virus can reveal the spatio-temporal cortico-cortical dynamics of specific neurons and their targets, but does not reveal how the dynamics evolves under natural conditions. Spontaneous ongoing action potentials also spread across cortical areas and are difficult to separate from structured evoked and intrinsic brain activity such as thinking. At a certain state of evolution, the dynamics may engage larger populations of neurons to drive the brain to decisions, percepts and behaviors. For example, successfully evolving dynamics to sensory transients can appear at the mesoscopic scale revealing how the transient is perceived. As a consequence of these methodological and conceptual difficulties, studies in this field comprise a wide range of computational models, large-scale measurements (e.g., by MEG, EEG), and a combination of invasive measurements in animal experiments. Further obstacles and challenges of studying cortico-cortical communication dynamics are outlined in this critical review.

U2 - 10.3389/fnsys.2014.00019

DO - 10.3389/fnsys.2014.00019

M3 - Review

C2 - 24847217

VL - 8

JO - Frontiers in Systems Neuroscience

JF - Frontiers in Systems Neuroscience

SN - 1662-5137

M1 - 19

ER -

ID: 202772673