Academic literature on the topic 'Balance locale Excitation'

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Journal articles on the topic "Balance locale Excitation"

1

Umar, A., S. Ahmad, and T. K. Datta. "Stability Analysis of a Moored Vessel." Journal of Offshore Mechanics and Arctic Engineering 126, no. 2 (2004): 164–74. http://dx.doi.org/10.1115/1.1710873.

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A procedure for the stability analysis of a slack mooring system is presented for periodic wave excitation by finding its approximate response using a two term harmonic balance method (HBM). The conditions for determining the local and global stability of the approximate solutions are established using Hill’s variational approach and Floquet’s theory. A number of instability phenomena are identified for the mooring system for certain frequencies of excitations which fall outside the range of frequencies obtained from the analytically derived stability boundaries. The instability phenomena incl
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Hamaguchi, Kosuke, Alexa Riehle, and Nicolas Brunel. "Estimating Network Parameters From Combined Dynamics of Firing Rate and Irregularity of Single Neurons." Journal of Neurophysiology 105, no. 1 (2011): 487–500. http://dx.doi.org/10.1152/jn.00858.2009.

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High firing irregularity is a hallmark of cortical neurons in vivo, and modeling studies suggest a balance of excitation and inhibition is necessary to explain this high irregularity. Such a balance must be generated, at least partly, from local interconnected networks of excitatory and inhibitory neurons, but the details of the local network structure are largely unknown. The dynamics of the neural activity depends on the local network structure; this in turn suggests the possibility of estimating network structure from the dynamics of the firing statistics. Here we report a new method to est
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3

Mariño, Jorge, James Schummers, David C. Lyon, et al. "Invariant computations in local cortical networks with balanced excitation and inhibition." Nature Neuroscience 8, no. 2 (2005): 194–201. http://dx.doi.org/10.1038/nn1391.

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4

Zheng, Ying, Jing Jing Luo, Sam Harris, et al. "Balanced excitation and inhibition: Model based analysis of local field potentials." NeuroImage 63, no. 1 (2012): 81–94. http://dx.doi.org/10.1016/j.neuroimage.2012.06.040.

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5

Lattuada, Enrico, Stefano Buzzaccaro, and Roberto Piazza. "Thermophoresis in self-associating systems: probing poloxamer micellization by opto-thermal excitation." Soft Matter 15, no. 10 (2019): 2140–51. http://dx.doi.org/10.1039/c8sm02386g.

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6

Renart, Alfonso, Rubén Moreno-Bote, Xiao-Jing Wang, and Néstor Parga. "Mean-Driven and Fluctuation-Driven Persistent Activity in Recurrent Networks." Neural Computation 19, no. 1 (2007): 1–46. http://dx.doi.org/10.1162/neco.2007.19.1.1.

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Spike trains from cortical neurons show a high degree of irregularity, with coefficients of variation (CV) of their interspike interval (ISI) distribution close to or higher than one. It has been suggested that this irregularity might be a reflection of a particular dynamical state of the local cortical circuit in which excitation and inhibition balance each other. In this “balanced” state, the mean current to the neurons is below threshold, and firing is driven by current fluctuations, resulting in irregular Poisson-like spike trains. Recent data show that the degree of irregularity in neuron
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7

Wang, Jiang, Ruixue Han, Xilei Wei, Yingmei Qin, Haitao Yu, and Bin Deng. "Weak signal detection and propagation in diluted feed-forward neural network with recurrent excitation and inhibition." International Journal of Modern Physics B 30, no. 02 (2016): 1550253. http://dx.doi.org/10.1142/s0217979215502537.

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Reliable signal propagation across distributed brain areas provides the basis for neural circuit function. Modeling studies on cortical circuits have shown that multilayered feed-forward networks (FFNs), if strongly and/or densely connected, can enable robust signal propagation. However, cortical networks are typically neither densely connected nor have strong synapses. This paper investigates under which conditions spiking activity can be propagated reliably across diluted FFNs. Extending previous works, we model each layer as a recurrent sub-network constituting both excitatory (E) and inhib
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8

Anticevic, Alan, and John Lisman. "How Can Global Alteration of Excitation/Inhibition Balance Lead to the Local Dysfunctions That Underlie Schizophrenia?" Biological Psychiatry 81, no. 10 (2017): 818–20. http://dx.doi.org/10.1016/j.biopsych.2016.12.006.

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9

Brunel, Nicolas, and Xiao-Jing Wang. "What Determines the Frequency of Fast Network Oscillations With Irregular Neural Discharges? I. Synaptic Dynamics and Excitation-Inhibition Balance." Journal of Neurophysiology 90, no. 1 (2003): 415–30. http://dx.doi.org/10.1152/jn.01095.2002.

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When the local field potential of a cortical network displays coherent fast oscillations (∼40-Hz gamma or ∼200-Hz sharp-wave ripples), the spike trains of constituent neurons are typically irregular and sparse. The dichotomy between rhythmic local field and stochastic spike trains presents a challenge to the theory of brain rhythms in the framework of coupled oscillators. Previous studies have shown that when noise is large and recurrent inhibition is strong, a coherent network rhythm can be generated while single neurons fire intermittently at low rates compared to the frequency of the oscill
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10

Jenkins, Edward B. "A Thermal Pressure Inside the Local Bubble, as Revealed by CI Fine-Structure Excitation." International Astronomical Union Colloquium 166 (1997): 33–36. http://dx.doi.org/10.1017/s0252921100070676.

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AbstractUltraviolet absorption lines from carbon atoms within a neutral cloud inside or near the edge of the Local Bubble can reveal the thermal pressure of the gas, since the relative populations of the fine-structure levels are determined by a balance between collisional excitation and radiative decay. Features from a C I multiplet appearing in the uv spectrum of the star δ Cyg (l = 79°, b = +10°, d = 52 pc) were observed with the echelle spectrograph of the Goddard High Resolution Spectrograph on HST. An interpretation of absorptions detected from the two lowest levels gives a thermal press
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