Space-Time Dynamics of Membrane Currents Evolve to Shape Excitation, Spiking, and Inhibition in the Cortex at Small and Large Scales

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Space-Time Dynamics of Membrane Currents Evolve to Shape Excitation, Spiking, and Inhibition in the Cortex at Small and Large Scales. / Roland, Per E.

In: Neuron, Vol. 94, No. 5, 06.2017, p. 934-942.

Research output: Contribution to journalReviewResearchpeer-review

Harvard

Roland, PE 2017, 'Space-Time Dynamics of Membrane Currents Evolve to Shape Excitation, Spiking, and Inhibition in the Cortex at Small and Large Scales', Neuron, vol. 94, no. 5, pp. 934-942. https://doi.org/10.1016/j.neuron.2017.04.038

APA

Roland, P. E. (2017). Space-Time Dynamics of Membrane Currents Evolve to Shape Excitation, Spiking, and Inhibition in the Cortex at Small and Large Scales. Neuron, 94(5), 934-942. https://doi.org/10.1016/j.neuron.2017.04.038

Vancouver

Roland PE. Space-Time Dynamics of Membrane Currents Evolve to Shape Excitation, Spiking, and Inhibition in the Cortex at Small and Large Scales. Neuron. 2017 Jun;94(5):934-942. https://doi.org/10.1016/j.neuron.2017.04.038

Author

Roland, Per E. / Space-Time Dynamics of Membrane Currents Evolve to Shape Excitation, Spiking, and Inhibition in the Cortex at Small and Large Scales. In: Neuron. 2017 ; Vol. 94, No. 5. pp. 934-942.

Bibtex

@article{1a460c43fbbc4a29a640d0bd9cbce78c,
title = "Space-Time Dynamics of Membrane Currents Evolve to Shape Excitation, Spiking, and Inhibition in the Cortex at Small and Large Scales",
abstract = "In the cerebral cortex, membrane currents, i.e., action potentials and other membrane currents, express many forms of space-time dynamics. In the spontaneous asynchronous irregular state, their space-time dynamics are local non-propagating fluctuations and sparse spiking appearing at unpredictable positions. After transition to active spiking states, larger structured zones with active spiking neurons appear, propagating through the cortical network, driving it into various forms of widespread excitation, and engaging the network from microscopic scales to whole cortical areas. At each engaged cortical site, the amount of excitation in the network, after a delay, becomes matched by an equal amount of space-time fine-tuned inhibition that might be instrumental in driving the dynamics toward perception and action.",
keywords = "brain theory, cerebral cortex, dynamical brain states, manifold, network threshold, object vision, spike trains, spontaneous activity, transient network dynamics, voluntary movements",
author = "Roland, {Per E.}",
year = "2017",
month = jun,
doi = "10.1016/j.neuron.2017.04.038",
language = "English",
volume = "94",
pages = "934--942",
journal = "Neuron",
issn = "0896-6273",
publisher = "Cell Press",
number = "5",

}

RIS

TY - JOUR

T1 - Space-Time Dynamics of Membrane Currents Evolve to Shape Excitation, Spiking, and Inhibition in the Cortex at Small and Large Scales

AU - Roland, Per E.

PY - 2017/6

Y1 - 2017/6

N2 - In the cerebral cortex, membrane currents, i.e., action potentials and other membrane currents, express many forms of space-time dynamics. In the spontaneous asynchronous irregular state, their space-time dynamics are local non-propagating fluctuations and sparse spiking appearing at unpredictable positions. After transition to active spiking states, larger structured zones with active spiking neurons appear, propagating through the cortical network, driving it into various forms of widespread excitation, and engaging the network from microscopic scales to whole cortical areas. At each engaged cortical site, the amount of excitation in the network, after a delay, becomes matched by an equal amount of space-time fine-tuned inhibition that might be instrumental in driving the dynamics toward perception and action.

AB - In the cerebral cortex, membrane currents, i.e., action potentials and other membrane currents, express many forms of space-time dynamics. In the spontaneous asynchronous irregular state, their space-time dynamics are local non-propagating fluctuations and sparse spiking appearing at unpredictable positions. After transition to active spiking states, larger structured zones with active spiking neurons appear, propagating through the cortical network, driving it into various forms of widespread excitation, and engaging the network from microscopic scales to whole cortical areas. At each engaged cortical site, the amount of excitation in the network, after a delay, becomes matched by an equal amount of space-time fine-tuned inhibition that might be instrumental in driving the dynamics toward perception and action.

KW - brain theory

KW - cerebral cortex

KW - dynamical brain states

KW - manifold

KW - network threshold

KW - object vision

KW - spike trains

KW - spontaneous activity

KW - transient network dynamics

KW - voluntary movements

U2 - 10.1016/j.neuron.2017.04.038

DO - 10.1016/j.neuron.2017.04.038

M3 - Review

C2 - 28595049

AN - SCOPUS:85020255160

VL - 94

SP - 934

EP - 942

JO - Neuron

JF - Neuron

SN - 0896-6273

IS - 5

ER -

ID: 193676396