Characterizing unidirectional couplings between point processes and flows

Experimental data comprising both time-continuous flows and point processes are recorded in many scientific disciplines. The characterization of causal interactions from such signals is key to an advanced understanding of the underlying dynamics. We therefore introduce a unified approach to characte...

Full description

Saved in:
Bibliographic Details
Published in:Europhysics letters 2011-12, Vol.96 (5), p.50012
Main Authors: Andrzejak, R. G, Kreuz, T
Format: Article
Language:English
Subjects:
05.45.Tp
05.45.Xt
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c469t-19e4b2b4e3bdfc971d2c5e3f71d44c2f4bd0682f76d60e0ae30d0e5f5d2414273
cites cdi_FETCH-LOGICAL-c469t-19e4b2b4e3bdfc971d2c5e3f71d44c2f4bd0682f76d60e0ae30d0e5f5d2414273
container_end_page
container_issue 5
container_start_page 50012
container_title Europhysics letters
container_volume 96
creator Andrzejak, R. G
Kreuz, T
description Experimental data comprising both time-continuous flows and point processes are recorded in many scientific disciplines. The characterization of causal interactions from such signals is key to an advanced understanding of the underlying dynamics. We therefore introduce a unified approach to characterize unidirectional couplings between point processes, between flows, as well as between point processes and flows. For this purpose we show and exploit the generality of the asymmetric state similarity conditioning principle. We use Hindmarsh-Rose neuron models and Lorenz oscillators to illustrate the high sensitivity and specificity of our approach.
doi_str_mv 10.1209/0295-5075/96/50012
format article
fullrecord <record><control><sourceid>istex_iop_p</sourceid><recordid>TN_cdi_iop_primary_10_1209_0295_5075_96_50012</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>ark_67375_80W_4R0PCDVQ_W</sourcerecordid><originalsourceid>FETCH-LOGICAL-c469t-19e4b2b4e3bdfc971d2c5e3f71d44c2f4bd0682f76d60e0ae30d0e5f5d2414273</originalsourceid><addsrcrecordid>eNp9kEtPwzAQhC0EEqXwBzjljkJtx3aSIwqvSpV4COjRcuw1GEIc2akK_HpSWlVw4bSr1TejnUHomOBTQnE5wbTkKcc5n5RiwjEmdAeNCC1EygrOdtFoC-yjgxhfB4IURIzQtHpRQekegvty7XOyaJ1xAXTvfKuaRPtF1wz3mNTQLwHapPOu7ZMueA0xQkxUaxLb-GU8RHtWNRGONnOMHi8vHqrrdHZzNa3OZqlmouxTUgKrac0gq43VZU4M1RwyOyyMaWpZbbAoqM2FERiwggwbDNxyQxlhNM_GiK59dfAxBrCyC-5dhU9JsFyVIVdZ5SqrLIX8KWMQpWuRiz18bBUqvEmRZwNZ4Llk9_i2On-6k_OBP9nwvtvSf33XzrIz9pf7L_qfb74Bub99TA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Characterizing unidirectional couplings between point processes and flows</title><source>Institute of Physics</source><creator>Andrzejak, R. G ; Kreuz, T</creator><creatorcontrib>Andrzejak, R. G ; Kreuz, T</creatorcontrib><description>Experimental data comprising both time-continuous flows and point processes are recorded in many scientific disciplines. The characterization of causal interactions from such signals is key to an advanced understanding of the underlying dynamics. We therefore introduce a unified approach to characterize unidirectional couplings between point processes, between flows, as well as between point processes and flows. For this purpose we show and exploit the generality of the asymmetric state similarity conditioning principle. We use Hindmarsh-Rose neuron models and Lorenz oscillators to illustrate the high sensitivity and specificity of our approach.</description><identifier>ISSN: 0295-5075</identifier><identifier>EISSN: 1286-4854</identifier><identifier>DOI: 10.1209/0295-5075/96/50012</identifier><language>eng</language><publisher>IOP Publishing</publisher><subject>05.45.Tp ; 05.45.Xt</subject><ispartof>Europhysics letters, 2011-12, Vol.96 (5), p.50012</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c469t-19e4b2b4e3bdfc971d2c5e3f71d44c2f4bd0682f76d60e0ae30d0e5f5d2414273</citedby><cites>FETCH-LOGICAL-c469t-19e4b2b4e3bdfc971d2c5e3f71d44c2f4bd0682f76d60e0ae30d0e5f5d2414273</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Andrzejak, R. G</creatorcontrib><creatorcontrib>Kreuz, T</creatorcontrib><title>Characterizing unidirectional couplings between point processes and flows</title><title>Europhysics letters</title><description>Experimental data comprising both time-continuous flows and point processes are recorded in many scientific disciplines. The characterization of causal interactions from such signals is key to an advanced understanding of the underlying dynamics. We therefore introduce a unified approach to characterize unidirectional couplings between point processes, between flows, as well as between point processes and flows. For this purpose we show and exploit the generality of the asymmetric state similarity conditioning principle. We use Hindmarsh-Rose neuron models and Lorenz oscillators to illustrate the high sensitivity and specificity of our approach.</description><subject>05.45.Tp</subject><subject>05.45.Xt</subject><issn>0295-5075</issn><issn>1286-4854</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9kEtPwzAQhC0EEqXwBzjljkJtx3aSIwqvSpV4COjRcuw1GEIc2akK_HpSWlVw4bSr1TejnUHomOBTQnE5wbTkKcc5n5RiwjEmdAeNCC1EygrOdtFoC-yjgxhfB4IURIzQtHpRQekegvty7XOyaJ1xAXTvfKuaRPtF1wz3mNTQLwHapPOu7ZMueA0xQkxUaxLb-GU8RHtWNRGONnOMHi8vHqrrdHZzNa3OZqlmouxTUgKrac0gq43VZU4M1RwyOyyMaWpZbbAoqM2FERiwggwbDNxyQxlhNM_GiK59dfAxBrCyC-5dhU9JsFyVIVdZ5SqrLIX8KWMQpWuRiz18bBUqvEmRZwNZ4Llk9_i2On-6k_OBP9nwvtvSf33XzrIz9pf7L_qfb74Bub99TA</recordid><startdate>20111201</startdate><enddate>20111201</enddate><creator>Andrzejak, R. G</creator><creator>Kreuz, T</creator><general>IOP Publishing</general><general>EPS, SIF, EDP Sciences and IOP Publishing</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20111201</creationdate><title>Characterizing unidirectional couplings between point processes and flows</title><author>Andrzejak, R. G ; Kreuz, T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c469t-19e4b2b4e3bdfc971d2c5e3f71d44c2f4bd0682f76d60e0ae30d0e5f5d2414273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>05.45.Tp</topic><topic>05.45.Xt</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Andrzejak, R. G</creatorcontrib><creatorcontrib>Kreuz, T</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><jtitle>Europhysics letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andrzejak, R. G</au><au>Kreuz, T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterizing unidirectional couplings between point processes and flows</atitle><jtitle>Europhysics letters</jtitle><date>2011-12-01</date><risdate>2011</risdate><volume>96</volume><issue>5</issue><spage>50012</spage><pages>50012-</pages><issn>0295-5075</issn><eissn>1286-4854</eissn><abstract>Experimental data comprising both time-continuous flows and point processes are recorded in many scientific disciplines. The characterization of causal interactions from such signals is key to an advanced understanding of the underlying dynamics. We therefore introduce a unified approach to characterize unidirectional couplings between point processes, between flows, as well as between point processes and flows. For this purpose we show and exploit the generality of the asymmetric state similarity conditioning principle. We use Hindmarsh-Rose neuron models and Lorenz oscillators to illustrate the high sensitivity and specificity of our approach.</abstract><pub>IOP Publishing</pub><doi>10.1209/0295-5075/96/50012</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0295-5075
ispartof Europhysics letters, 2011-12, Vol.96 (5), p.50012
issn 0295-5075
1286-4854
language eng
recordid cdi_iop_primary_10_1209_0295_5075_96_50012
source Institute of Physics
subjects 05.45.Tp
05.45.Xt
title Characterizing unidirectional couplings between point processes and flows
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-23T13%3A53%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-istex_iop_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Characterizing%20unidirectional%20couplings%20between%20point%20processes%20and%20flows&rft.jtitle=Europhysics%20letters&rft.au=Andrzejak,%20R.%20G&rft.date=2011-12-01&rft.volume=96&rft.issue=5&rft.spage=50012&rft.pages=50012-&rft.issn=0295-5075&rft.eissn=1286-4854&rft_id=info:doi/10.1209/0295-5075/96/50012&rft_dat=%3Cistex_iop_p%3Eark_67375_80W_4R0PCDVQ_W%3C/istex_iop_p%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c469t-19e4b2b4e3bdfc971d2c5e3f71d44c2f4bd0682f76d60e0ae30d0e5f5d2414273%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true