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Journal of Computational Neuroscience

Erschienen in:

01.04.2010

Spatially structured oscillations in a two-dimensional excitatory neuronal network with synaptic depression

verfasst von: Zachary P. Kilpatrick, Paul C. Bressloff

Erschienen in: Journal of Computational Neuroscience | Ausgabe 2/2010

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Abstract

We study the spatiotemporal dynamics of a two-dimensional excitatory neuronal network with synaptic depression. Coupling between populations of neurons is taken to be nonlocal, while depression is taken to be local and presynaptic. We show that the network supports a wide range of spatially structured oscillations, which are suggestive of phenomena seen in cortical slice experiments and in vivo. The particular form of the oscillations depends on initial conditions and the level of background noise. Given an initial, spatially localized stimulus, activity evolves to a spatially localized oscillating core that periodically emits target waves. Low levels of noise can spontaneously generate several pockets of oscillatory activity that interact via their target patterns. Periodic activity in space can also organize into spiral waves, provided that there is some source of rotational symmetry breaking due to external stimuli or noise. In the high gain limit, no oscillatory behavior exists, but a transient stimulus can lead to a single, outward propagating target wave.

Vorheriger Artikel Estimating short-run and long-run interaction mechanisms in interictal state

Nächster Artikel Fast Kalman filtering on quasilinear dendritic trees

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Titel: Spatially structured oscillations in a two-dimensional excitatory neuronal network with synaptic depression
verfasst von: Zachary P. Kilpatrick
Paul C. Bressloff
Publikationsdatum: 01.04.2010
Verlag: Springer US
Erschienen in: Journal of Computational Neuroscience / Ausgabe 2/2010
Print ISSN: 0929-5313
Elektronische ISSN: 1573-6873
DOI: https://doi.org/10.1007/s10827-009-0199-6

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