(Q51793088)

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Correlation-distortion based identification of Linear-Nonlinear-Poisson models.

scientific article published on 15 September 2009

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scholarly article

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/19757006

Correlation-distortion based identification of Linear-Nonlinear-Poisson models. (English)

1 reference

Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/19757006

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Shy Shoham

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author name string

Michael Krumin

1

1 reference

Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/19757006

Avner Shimron

2

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/19757006

publication date

15 September 2009

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/19757006

Journal of Computational Neuroscience

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/19757006

29

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/19757006

1-2

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Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/19757006

301-308

1 reference

Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/19757006

Spike-triggered neural characterization.

1 reference

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Correlations and Synchrony in Threshold Neuron Models

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https://pubmed.ncbi.nlm.nih.gov/19757006

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Estimating membrane voltage correlations from extracellular spike trains

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Temporal impulse responses from flicker sensitivities: causality, linearity, and amplitude data do not determine phase

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https://pubmed.ncbi.nlm.nih.gov/19757006

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Spatiotemporal energy models for the perception of motion

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https://pubmed.ncbi.nlm.nih.gov/19757006

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Full identification of a linear-nonlinear system via cross-correlation analysis

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https://pubmed.ncbi.nlm.nih.gov/19757006

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Spatio-temporal correlations and visual signalling in a complete neuronal population

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Multiplicative computation in a visual neuron sensitive to looming

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Statistical models for neural encoding, decoding, and optimal stimulus design

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The role of spiking nonlinearity in contrast gain control and information transmission.

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Independent component analysis at the neural cocktail party

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Statistical encoding model for a primary motor cortical brain-machine interface

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Generation of spike trains with controlled auto- and cross-correlation functions

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Independent component analyses for quantifying neuronal ensemble interactions

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Rapid neurotransmitter uncaging in spatially defined patterns

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Generating spike trains with specified correlation coefficients.

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Mapping receptive fields in primary visual cortex

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Patterned optical activation of retinal ganglion cells

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Complete functional characterization of sensory neurons by system identification.

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Superlinear population encoding of dynamic hand trajectory in primary motor cortex.

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Identifiers

10.1007/S10827-009-0184-0

1 reference

Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/19757006

1 reference

DBLP publication ID

journals/jcns/KruminSS10

1 reference

DBLP Dataset 2021-01-02

28 January 2021

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

12 April 2018

http://europepmc.org/abstract/MED/19757006

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