State space method for predicting the spike times of a neuron.

scientific article published on 29 January 2007

State space method for predicting the spike times of a neuron. is …
instance of (P31):
scholarly articleQ13442814

External links are
P819ADS bibcode2007PhRvE..75a1925K
P356DOI10.1103/PHYSREVE.75.011925
P698PubMed publication ID17358202

P50authorRyota KobayashiQ79939445
Shigeru ShinomotoQ89287602
P2860cites workEfficient estimation of detailed single-neuron modelsQ50112560
An Active Pulse Transmission Line Simulating Nerve AxonQ22337094
Impulses and Physiological States in Theoretical Models of Nerve MembraneQ24538712
Computation in a Single Neuron: Hodgkin and Huxley RevisitedQ33193418
Complex parameter landscape for a complex neuron modelQ33250565
Dynamic spike threshold reveals a mechanism for synaptic coincidence detection in cortical neurons in vivoQ35177058
The NEURON Simulation EnvironmentQ41554850
Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.Q46818698
Simple model of spiking neuronsQ47832705
Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracyQ47868982
Noise in integrate-and-fire neurons: from stochastic input to escape ratesQ47901332
Predicting spike timing of neocortical pyramidal neurons by simple threshold modelsQ48570869
P433issue1 Pt 1
P407language of work or nameEnglishQ1860
P304page(s)011925
P577publication date2007-01-29
P1433published inPhysical Review EQ2128181
P1476titleState space method for predicting the spike times of a neuron
P478volume75

Reverse relations

cites work (P2860)
Q36463891A point-process response model for spike trains from single neurons in neural circuits under optogenetic stimulation.
Q47691759Accuracy of rate coding: When shorter time window and higher spontaneous activity help.
Q91522524Dynamic input-dependent encoding of individual basal ganglia neurons
Q39079385Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times
Q30410000Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron
Q48897677Estimation of time-dependent input from neuronal membrane potential
Q30587225Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model
Q36880676Impact of slow K(+) currents on spike generation can be described by an adaptive threshold model.
Q41824864Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold
Q39677048Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms
Q40027556The quantitative single-neuron modeling competition.

Search more.