about
Nonrenewal spike train statistics: causes and functional consequences on neural codingNoise reduction of coincidence detector output by the inferior colliculus of the barn owl.Testing a neural coding hypothesis using surrogate dataDetection of M-sequences from spike sequence in neuronal networks.Coherent stochastic oscillations enhance signal detection in spiking neuronsEmergence of complex dynamics in a simple model of signaling networksElectroreceptor neuron dynamics shape information transmission.Next-generation synthetic gene networks.Threshold fatigue and information transfer.A Markov model for the temporal dynamics of balanced random networks of finite size.Integrate-and-fire neurons with threshold noise: a tractable model of how interspike interval correlations affect neuronal signal transmission.Spike-rate coding and spike-time coding are affected oppositely by different adaptation mechanisms.Delayed excitatory and inhibitory feedback shape neural information transmission.Noise Shaping in Neural Populations with Global Delayed Feedback.Noise shaping in neural populations.Finite-size dynamics of inhibitory and excitatory interacting spiking neurons.Fluctuations and information filtering in coupled populations of spiking neurons with adaptation.Electrical coupling promotes fidelity of responses in the networks of model neurons.Analog VLSI implementation of resonate-and-fire neuron.Theory of nonstationary Hawkes processes.Theory of oscillatory firing induced by spatially correlated noise and delayed inhibitory feedback.Possible neural coding with interevent intervals of synchronous firing.Spatiotemporal spike encoding of a continuous external signal.Random noise paradoxically improves light-intensity encoding in Hermissenda photoreceptor network.Mechanisms of noise-induced improvement in light-intensity encoding in Hermissenda photoreceptor network.Neuronal model with distributed delay: analysis and simulation study for gamma distribution memory kernel.Enhancing the resolution of a sensor via negative correlation: a biologically inspired approach.Enhanced stimulus encoding capabilities with spectral selectivity in inhibitory circuits by STDP.Coupling regularizes individual units in noisy populations.Relation between single neuron and population spiking statistics and effects on network activity.Stochastic model for heart-rate fluctuations.Duality of rate coding and temporal coding in multilayered feedforward networks.Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study
P2860
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P2860
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
1999年论文
@zh
1999年论文
@zh-cn
name
Noise shaping in populations of coupled model neurons.
@ast
Noise shaping in populations of coupled model neurons.
@en
type
label
Noise shaping in populations of coupled model neurons.
@ast
Noise shaping in populations of coupled model neurons.
@en
prefLabel
Noise shaping in populations of coupled model neurons.
@ast
Noise shaping in populations of coupled model neurons.
@en
P2093
P2860
P356
P1476
Noise shaping in populations of coupled model neurons.
@en
P2093
P2860
P304
10450-10455
P356
10.1073/PNAS.96.18.10450
P407
P577
1999-08-01T00:00:00Z