(Q31120111)

29 June 2017

title

Parameter estimation for a leaky integrate-and-fire neuronal model from ISI data (English)

1 reference

29 June 2017

Paul Mullowney

1

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29 June 2017

Satish Iyengar

series ordinal

2

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29 June 2017

publication date

28 July 2007

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Journal of Computational Neuroscience

29 June 2017

published in

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29 June 2017

volume

24

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29 June 2017

issue

2

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29 June 2017

page(s)

179-194

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A quantitative description of membrane current and its application to conduction and excitation in nerve

29 June 2017

cites work

1 reference

Crossref

https://api.crossref.org/works/10.1007%2FS10827-007-0047-5

A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties.

21 January 2018

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12 December 2020

On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity

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12 December 2020

Dynamic clamp: computer-generated conductances in real neurons.

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12 December 2020

Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy

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12 December 2020

The dynamic clamp: artificial conductances in biological neurons

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12 December 2020

The Ornstein-Uhlenbeck process as a model for neuronal activity. I. Mean and variance of the firing time

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12 December 2020

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model

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12 December 2020

Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials

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12 December 2020

Calculation of interspike intervals for integrate-and-fire neurons with poisson distribution of synaptic inputs

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12 December 2020

Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.

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12 December 2020

Predicting spike timing of neocortical pyramidal neurons by simple threshold models

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12 December 2020

On the parameter estimation for diffusion models of single neuron's activities. I. Application to spontaneous activities of mesencephalic reticular formation cells in sleep and waking states

1 reference

12 December 2020

Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival

1 reference

12 December 2020

A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input.

1 reference

12 December 2020

Predicting every spike: a model for the responses of visual neurons

1 reference

12 December 2020

A THEORETICAL ANALYSIS OF NEURONAL VARIABILITY.

1 reference

12 December 2020

Voltage oscillations in the barnacle giant muscle fiber.

1 reference

12 December 2020

The parameters of the stochastic leaky integrate-and-fire neuronal model

1 reference

12 December 2020

10.1007/S10827-007-0047-5

Identifiers

DOI

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journals/jcns/MullowneyI08

29 June 2017

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

Dimensions Publication ID

28 January 2021

1014781890

0 references

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