How adaptation shapes spike rate oscillations in recurrent neuronal networks.
about
Lasting modulation of in vitro oscillatory activity with weak direct current stimulationExtending Integrate-and-Fire Model Neurons to Account for the Effects of Weak Electric Fields and Input Filtering Mediated by the Dendrite.Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size.Patterned Brain Stimulation, What a Framework with Rhythmic and Noisy Components Might Tell Us about Recovery MaximizationAn integrative model of the intrinsic hippocampal theta rhythm.Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation.Neural masses and fields: modeling the dynamics of brain activity.Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise.Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance.Phase diagram of spiking neural networks.Adaptation controls synchrony and cluster states of coupled threshold-model neurons.Effects of neuronal adaptation currents on network-based spike rate oscillations.Low-dimensional spike rate dynamics of coupled adaptive model neurons.Extending integrate-and fire model neurons to account for the effects of weak electric fields in the presence of dendrites.Spiking resonances in models with the same slow resonant and fast amplifying currents but different subthreshold dynamic properties.Analytical approach to an integrate-and-fire model with spike-triggered adaptation.How adaptation currents change threshold, gain, and variability of neuronal spiking.Understanding the Generation of Network Bursts by Adaptive Oscillatory Neurons.Examining the limits of cellular adaptation bursting mechanisms in biologically-based excitatory networks of the hippocampus.Intrinsic Control Mechanisms of Neuronal Network Dynamics
P2860
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P2860
How adaptation shapes spike rate oscillations in recurrent neuronal networks.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
How adaptation shapes spike rate oscillations in recurrent neuronal networks.
@en
type
label
How adaptation shapes spike rate oscillations in recurrent neuronal networks.
@en
prefLabel
How adaptation shapes spike rate oscillations in recurrent neuronal networks.
@en
P2860
P356
P1476
How adaptation shapes spike rate oscillations in recurrent neuronal networks.
@en
P2093
Klaus Obermayer
P2860
P356
10.3389/FNCOM.2013.00009
P577
2013-02-27T00:00:00Z