(Q52580103)

3 May 2018

title

Maximum likelihood identification of neural point process systems. (English)

1 reference

3 May 2018

3

A F Karr

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3 May 2018

author name string

E S Chornoboy

series ordinal

1

1 reference

3 May 2018

L P Schramm

series ordinal

2

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3 May 2018

publication date

1 January 1988

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3 May 2018

published in

Biological Cybernetics

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3 May 2018

volume

59

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3 May 2018

issue

4-5

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3 May 2018

page(s)

265-275

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3 May 2018

maintained by WikiProject

WikiProject Mathematics

0 references

exact match

https://scigraph.springernature.com/pub.10.1007/bf00332915

0 references

cites work

Evaluation of neuronal connectivity: sensitivity of cross-correlation.

1 reference

https://api.crossref.org/works/10.1007%2FBF00332915

Maximum likelihood estimations in a nonlinear self-exciting point process model.

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FBF00332915

A new statistical method for identifying interconnections between neuronal network elements.

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FBF00332915

On the use and interpretation of cross-correlation measurements in the mammalian central nervous system

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FBF00332915

Maximum likelihood reconstruction for emission tomography

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FBF00332915

A Statistical Model for Positron Emission Tomography

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FBF00332915

Deterministic and stochastic identification of neurophysiologic systems

21 January 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/3196770

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1007/BF00332915

1 reference

3 May 2018

1 reference

3 May 2018