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Stochastic transitions into silence cause noise correlations in cortical circuits.Inferring Neuronal Dynamics from Calcium Imaging Data Using Biophysical Models and Bayesian Inference.A balanced memory network.Causal measures of structure and plasticity in simulated and living neural networksHow noisy adaptation of neurons shapes interspike interval histograms and correlations.Mechanism for the universal pattern of activity in developing neuronal networksThe Wilson-Cowan model, 36 years laterSensitivity to perturbations in vivo implies high noise and suggests rate coding in cortexChemical and electrical synapses perform complementary roles in the synchronization of interneuronal networks.Phase-response curves give the responses of neurons to transient inputs.Endogenous cholinergic tone modulates spontaneous network level neuronal activity in primary cortical cultures grown on multi-electrode arrays.Metastability and inter-band frequency modulation in networks of oscillating spiking neuron populations.Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces.Inhibitory stabilization of the cortical network underlies visual surround suppressionThe Neurodynamics of Cognition: A Tutorial on Computational Cognitive NeuroscienceNeural Sequence Generation Using Spatiotemporal Patterns of Inhibition.A Statistical Model for In Vivo Neuronal Dynamics.Fingolimod, a sphingosine-1 phosphate receptor modulator, increases BDNF levels and improves symptoms of a mouse model of Rett syndrome.Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven SystemsIs there a brainstem substrate for action selection?Functional phase response curves: a method for understanding synchronization of adapting neuronsInhibitory control of correlated intrinsic variability in cortical networks.Intrinsically active and pacemaker neurons in pluripotent stem cell-derived neuronal populations.Neuronify: An Educational Simulator for Neural Circuits.Neurosystems: brain rhythms and cognitive processing.Estimation of Synaptic Conductances in Presence of Nonlinear Effects Caused by Subthreshold Ionic Currents.Inferring network dynamics and neuron properties from population recordings.Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms.Establishing Communication between Neuronal Populations through Competitive Entrainment.A Linear Analysis of Coupled Wilson-Cowan Neuronal PopulationsUP-DOWN cortical dynamics reflect state transitions in a bistable network.A mean field model for movement induced changes in the beta rhythm.Intrinsic dynamics in neuronal networks. II. experiment.A novel analytical characterization for short-term plasticity parameters in spiking neural networks.Information diversity in structure and dynamics of simulated neuronal networks.How adaptation shapes spike rate oscillations in recurrent neuronal networks.Added astroglia promote greater synapse density and higher activity in neuronal networks.Exploring the spectrum of dynamical regimes and timescales in spontaneous cortical activity.Chaos and reliability in balanced spiking networks with temporal drive.
P2860
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P2860
description
2000 nî lūn-bûn
@nan
2000年の論文
@ja
2000年論文
@yue
2000年論文
@zh-hant
2000年論文
@zh-hk
2000年論文
@zh-mo
2000年論文
@zh-tw
2000年论文
@wuu
2000年论文
@zh
2000年论文
@zh-cn
name
Intrinsic dynamics in neuronal networks. I. Theory.
@en
type
label
Intrinsic dynamics in neuronal networks. I. Theory.
@en
prefLabel
Intrinsic dynamics in neuronal networks. I. Theory.
@en
P2093
P2860
P356
P1476
Intrinsic dynamics in neuronal networks. I. Theory.
@en
P2093
Nirenberg S
Richmond BJ
P2860
P304
P356
10.1152/JN.2000.83.2.808
P407
P577
2000-02-01T00:00:00Z