Literature DB >> 14512752

Analysis of state-dependent transitions in frequency and long-distance coordination in a model oscillatory cortical circuit.

David J Pinto1, Stephanie R Jones, Tasso J Kaper, Nancy Kopell.   

Abstract

Changes in behavioral state are typically accompanied by changes in the frequency and spatial coordination of rhythmic activity in the neocortex. In this article, we analyze the effects of neuromodulation on ionic conductances in an oscillating cortical circuit model. The model consists of synaptically-coupled excitatory and inhibitory neurons and supports rhythmic activity in the alpha, beta, and gamma ranges. We find that the effects of neuromodulation on ionic conductances are, by themselves, sufficient to induce transitions between synchronous gamma and beta rhythms and asynchronous alpha rhythms. Moreover, these changes are consistent with changes in behavioral state, with the rhythm transitioning from the slower alpha to the faster gamma and beta as arousal increases. We also observe that it is the same set of underlying intrinsic and network mechanisms that appear to be simultaneously responsible for both the observed transitions between the rhythm types and between their synchronization properties. Spike time response curves (STRCs) are used to study the relationship between the transitions in rhythm and the underlying biophysics.

Mesh:

Year:  2003        PMID: 14512752     DOI: 10.1023/a:1025825102620

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  54 in total

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Authors:  S R Jones; D J Pinto; T J Kaper; N Kopell
Journal:  J Comput Neurosci       Date:  2000 Nov-Dec       Impact factor: 1.621

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Journal:  J Neurophysiol       Date:  1996-09       Impact factor: 2.714

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9.  Relationship between lateral inhibitory connections and the topography of the orientation map in cat visual cortex.

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10.  Gamma rhythms and beta rhythms have different synchronization properties.

Authors:  N Kopell; G B Ermentrout; M A Whittington; R D Traub
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-15       Impact factor: 11.205

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  11 in total

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2.  Quantitative analysis and biophysically realistic neural modeling of the MEG mu rhythm: rhythmogenesis and modulation of sensory-evoked responses.

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4.  Brain rhythms: towards a coherent picture of ensemble development in learning.

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5.  Human Neocortical Neurosolver (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data.

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Review 6.  On the nature and use of models in network neuroscience.

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Journal:  Nat Rev Neurosci       Date:  2018-09       Impact factor: 34.870

7.  Adaptive reconfiguration of fractal small-world human brain functional networks.

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8.  Analysis of complex neural circuits with nonlinear multidimensional hidden state models.

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Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-24       Impact factor: 11.205

9.  Computational modeling of distinct neocortical oscillations driven by cell-type selective optogenetic drive: separable resonant circuits controlled by low-threshold spiking and fast-spiking interneurons.

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10.  Theta and beta oscillatory dynamics in the dentate gyrus reveal a shift in network processing state during cue encounters.

Authors:  Lara M Rangel; Andrea A Chiba; Laleh K Quinn
Journal:  Front Syst Neurosci       Date:  2015-07-01
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