Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains-Reference-Cited by-同舟云学术

Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains

Published:2024 Issue: Volume:72 Page:1333-1347
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Theocharous Andreas¹^ORCID,Gregoriou Georgia G.²^ORCID,Sapountzis Panagiotis³^ORCID,Kontoyiannis Ioannis¹^ORCID

Affiliation:

1. Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, U.K.

2. University of Crete, Faculty of Medicine, and Foundation for Research and Technology Hellas, Institute of Applied and Computational Mathematics, Heraklion, Greece

3. Foundation for Research and Technology Hellas, Institute of Applied and Computational Mathematics, Heraklion, Greece

Funder

Hellenic Foundation for Research and Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/78/10347386/10454253.pdf?arnumber=10454253

Reference61 articles.

1. The Relation between Granger Causality and Directed Information Theory: A Review

2. Pathways of Attention: Synaptic Relationships of Frontal Eye Field to V4, Lateral Intraparietal Cortex, and Area 46 in Macaque Monkey

3. Assessing Significance of Information Flow in High Dimensional Dynamical Systems With Few Data

4. Learning representations by maximizing mutual information across views;Bachman,2019

5. Granger Causality and Transfer Entropy Are Equivalent for Gaussian Variables

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