How noisy adaptation of neurons shapes interspike interval histograms and correlations.
about
Nonrenewal spike train statistics: causes and functional consequences on neural codingSlow noise in the period of a biological oscillator underlies gradual trends and abrupt transitions in phasic relationships in hybrid neural networks.Characteristic effects of stochastic oscillatory forcing on neural firing: analytical theory and comparison to paddlefish electroreceptor dataAcute in vivo nicotine administration enhances synchrony among dopamine neurons.Experimentally Verified Parameter Sets for Modelling Heterogeneous Neocortical Pyramidal-Cell PopulationsStatistical properties of superimposed stationary spike trains.Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size.Stochastic slowly adapting ionic currents may provide a decorrelation mechanism for neural oscillators by causing wander in the intrinsic period.Interspike interval correlation in a stochastic exponential integrate-and-fire model with subthreshold and spike-triggered adaptation.Conductance-based neuron models and the slow dynamics of excitability.Modulation of neuronal dynamic range using two different adaptation mechanisms.Patterns of interval correlations in neural oscillators with adaptation.How stochastic adaptation of neurons shapes interspike interval statistics – theory and experiment.Interspike intervals as a discrete time series with history and randomness.Adaptation shapes spike train correlations: theory and application to tinnitus.Evolution of moments and correlations in nonrenewal escape-time processes.Analytical approach to an integrate-and-fire model with spike-triggered adaptation.Statistics of a neuron model driven by asymmetric colored noise.Integrate-and-fire neurons driven by asymmetric dichotomous noise.How adaptation currents change threshold, gain, and variability of neuronal spiking.Stochastic representations of ion channel kinetics and exact stochastic simulation of neuronal dynamics.Kv7 channels regulate pairwise spiking covariability in health and disease.Onset of negative interspike interval correlations in adapting neurons.Sub-threshold signal encoding in coupled FitzHugh-Nagumo neurons.Transmission of temporally correlated spike trains through synapses with short-term depressionIntrinsic Control Mechanisms of Neuronal Network Dynamics
P2860
Q30405126-489AF95E-FB6D-4E1E-BE7B-8600EB03942EQ33617840-C5E55449-0A40-4DE2-9F03-7FFD7197148EQ34961670-939C583B-B322-46B3-B856-78DB4ACA193AQ35182062-9BCAD63A-B053-4CBC-82FE-09414AC8FED5Q35751102-02F1BFF3-15B9-47AC-AA50-201D847AE849Q35931512-07C8E485-9F53-4C2D-B51E-41734EBCE23AQ36350771-3E028F00-0FFF-486C-8D2D-1E4961FDD07BQ39696276-CE479D51-AAB6-4EF1-80A5-3C2033B6724AQ41038222-7515CDF1-10FC-4DFC-8194-1854378292B1Q41158116-097E917C-11A5-4502-8335-59DC930166BBQ42025670-F2975EC7-4103-46F5-B2C2-22AD86231927Q42861325-056396D1-EDFD-487A-B344-3164F5CD97C8Q45811608-D8B3C89C-EABF-4CD1-A9E1-FFD2048D96FEQ45986605-21ECE288-341F-4C3D-BBC5-1C0E18870C35Q46009669-68CDC3C3-6269-4D75-973C-78A38FDB5C58Q47686743-346EF09A-DAF4-480B-842A-04CDCFB452DDQ47717722-A936B902-1B88-41EA-B7DC-CAB9048CD30AQ47733574-CA9D506C-12DC-49A9-9A9C-C12A332ED854Q47744634-BF7DF46E-7866-4AD5-936A-24FD8056E506Q47756573-D236E392-2C35-407F-971F-5981593A36A5Q51010251-01F4D50A-D137-441C-A26A-851658A0C173Q51090363-E2941241-9441-4EB4-9116-16768D659391Q53197940-1F7CA40F-B4B5-47A4-84AD-7F296348E04EQ55279129-D4731817-66D7-4382-87DB-20E130038CBCQ56395278-00D6E745-8E6E-4D23-BA7C-12E90D433701Q56977365-39AA68B5-9C8F-4223-9C9B-CC046373938B
P2860
How noisy adaptation of neurons shapes interspike interval histograms and correlations.
description
2010 nî lūn-bûn
@nan
2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
How noisy adaptation of neurons shapes interspike interval histograms and correlations.
@ast
How noisy adaptation of neurons shapes interspike interval histograms and correlations.
@en
type
label
How noisy adaptation of neurons shapes interspike interval histograms and correlations.
@ast
How noisy adaptation of neurons shapes interspike interval histograms and correlations.
@en
prefLabel
How noisy adaptation of neurons shapes interspike interval histograms and correlations.
@ast
How noisy adaptation of neurons shapes interspike interval histograms and correlations.
@en
P2093
P2860
P1476
How noisy adaptation of neurons shapes interspike interval histograms and correlations.
@en
P2093
Benjamin Lindner
Karin Fisch
Tilo Schwalger
P2860
P304
P356
10.1371/JOURNAL.PCBI.1001026
P577
2010-12-16T00:00:00Z