Network model of spontaneous activity exhibiting synchronous transitions between up and down States.
about
Mechanisms Gating the Flow of Information in the Cortex: What They Might Look Like and What Their Uses may beNeurophysiological and computational principles of cortical rhythms in cognitionA spontaneous state of weakly correlated synaptic excitation and inhibition in visual cortex.Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials.A simple model of cortical dynamics explains variability and state dependence of sensory responses in urethane-anesthetized auditory cortex.Irregular dynamics in up and down cortical states.Stochastic amplification of fluctuations in cortical up-statesElevated serotonergic signaling amplifies synaptic noise and facilitates the emergence of epileptiform network oscillations.Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models.Abnormal UP/DOWN Membrane Potential Dynamics Coupled with the Neocortical Slow Oscillation in Dentate Granule Cells during the Latent Phase of Temporal Lobe Epilepsy.Short-term synaptic plasticity in the deterministic Tsodyks-Markram model leads to unpredictable network dynamics.Rapid neocortical dynamics: cellular and network mechanisms.Inhibitory control of correlated intrinsic variability in cortical networks.Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons.Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.Mechanisms of Self-Sustained Oscillatory States in Hierarchical Modular Networks with Mixtures of Electrophysiological Cell Types.Alternation of up and down states at a dynamical phase-transition of a neural network with spatiotemporal attractors.UP-DOWN cortical dynamics reflect state transitions in a bistable network.Bistability and up/down state alternations in inhibition-dominated randomly connected networks of LIF neurons.Localized adenosine signaling provides fine-tuned negative feedback over a wide dynamic range of neocortical network activities.Neurodynamics of up and down transitions in a single neuron.Self-organized criticality occurs in non-conservative neuronal networks during Up statesInfluence of slow oscillation on hippocampal activity and ripples through cortico-hippocampal synaptic interactions, analyzed by a cortical-CA3-CA1 network model.Origins of 1/f2 scaling in the power spectrum of intracortical local field potential.Sensory coding accuracy and perceptual performance are improved during the desynchronized cortical state.Spontaneous slow oscillations and sequential patterns due to short-term plasticity in a model of the cortex.Entrainment in up and down states of neural populations: non-smooth and stochastic models.Cortical response states for enhanced sensory discrimination.Inhibitory modulation of cortical up states.Phase analysis method for burst onset prediction.Information encoding in an oscillatory network.Impact of membrane bistability on dynamical response of neuronal populations.Collective stochastic coherence in recurrent neuronal networksNOISE-INDUCED UP/DOWN DYNAMICS IN SCALE-FREE NEURONAL NETWORKS
P2860
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P2860
Network model of spontaneous activity exhibiting synchronous transitions between up and down States.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Network model of spontaneous a ...... ns between up and down States.
@en
type
label
Network model of spontaneous a ...... ns between up and down States.
@en
prefLabel
Network model of spontaneous a ...... ns between up and down States.
@en
P2860
P1476
Network model of spontaneous a ...... ns between up and down States.
@en
P2093
Larry F Abbott
Néstor Parga
P2860
P356
10.3389/NEURO.01.1.1.004.2007
P577
2007-10-15T00:00:00Z