Paper Citation Record · LEDGER

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2502.00945.

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2502.00945 v1

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measured 38 of 38 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 5ce4fc19-e78c-421a-99ab-de284b7a7589 · outbound

This paper cites Network neuroscience,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Network neuroscience,

Reference 1

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Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Unresolved cited work

Reference 2

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Observation 1f1a67b0-c4b3-4418-80bc-24d4afa35610 · outbound

This paper cites The new field of network physiology: building the human physiolome,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks The new field of network physiology: building the human physiolome,

Reference 3

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Observation e2add535-d28e-4b7a-a6ab-f7f4901ff9c2 · outbound

This paper cites Elec- trophysiological brain connectivity: theory and imple- mentation,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Elec- trophysiological brain connectivity: theory and imple- mentation,

Reference 4

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Observation aa556521-ba55-4ec7-9b25-1ebea1343eba · outbound

This paper cites Cardiovascular and cardiorespiratory coupling analyses: a review,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Cardiovascular and cardiorespiratory coupling analyses: a review,

Reference 5

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Observation 3669bc48-b8d0-48b6-b2b4-797651134a98 · outbound

This paper cites Wiener–granger causality in net- work physiology with applications to cardiovascular con- trol and neuroscience,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Wiener–granger causality in net- work physiology with applications to cardiovascular con- trol and neuroscience,

Reference 6

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Observation 3b11269f-f9b3-4e86-8fb0-06f308ffaee8 · outbound

This paper cites Unifying pairwise interactions in complex dynamics,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Unifying pairwise interactions in complex dynamics,

Reference 7

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Observation f8890686-3c17-435d-a9b7-4871eb46dbe9 · outbound

This paper cites Graph theory methods: applications in brain networks,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Graph theory methods: applications in brain networks,

Reference 8

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Observation 443a9364-466d-4254-b886-dfe9e64347b2 · outbound

This paper cites Practical measures of integrated information for time-series data,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Practical measures of integrated information for time-series data,

Reference 9

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Observation d2ae4d65-9333-40b0-b586-5c7e1545f4a6 · outbound

This paper cites Unified frame- work for information integration based on information geometry,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Unified frame- work for information integration based on information geometry,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:14:27.656316Z

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Observation 5c065b4c-403b-4425-876c-b1fe5e650f34 · outbound

This paper cites Dynamics on higher- order networks: A review,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Dynamics on higher- order networks: A review,

Reference 11

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Observation c043ac51-bcf4-4b91-a98c-697271adbd1f · outbound

This paper cites Mea- suring integrated information: Comparison of candidate measures in theory and simulation,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Mea- suring integrated information: Comparison of candidate measures in theory and simulation,

Reference 12

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Observation a2064bf3-cbe3-4f47-8df1-253f05725e18 · outbound

This paper cites Rec- onciling emergences: An information-theoretic approach to identify causal emergence in multivariate data,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Rec- onciling emergences: An information-theoretic approach to identify causal emergence in multivariate data,

Reference 13

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Observation dd0cfc09-f707-4b4b-983d-a055603b0d4a · outbound

This paper cites Syn- ergy, redundancy, and multivariate information mea- sures: an experimentalist’s perspective,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Syn- ergy, redundancy, and multivariate information mea- sures: an experimentalist’s perspective,

Reference 14

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Observation fe41234f-1430-43e2-ba5f-7ad0903b3d38 · outbound

This paper cites Nonnegative Decomposition of Multivariate Information.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Nonnegative Decomposition of Multivariate Information

Reference 15

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Observation 4e6ae9c2-1876-48ac-a869-277802539f66 · outbound

This paper cites Predictability, complexity, and learning,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Predictability, complexity, and learning,

Reference 16

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Observation 0b7df6e8-ebb0-4c67-9b1a-ff7b83d3e2d8 · outbound

This paper cites Informa- tion decomposition in multivariate systems: definitions, implementation and application to cardiovascular net- works,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Informa- tion decomposition in multivariate systems: definitions, implementation and application to cardiovascular net- works,

Reference 17

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Observation 89d20ce5-a2cc-436f-971c-6f91582378a3 · outbound

This paper cites Assessing high-order links in cardiovascular and respiratory net- works via static and dynamic information measures,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Assessing high-order links in cardiovascular and respiratory net- works via static and dynamic information measures,

Reference 18

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Observation 70040386-86f8-4e0e-9123-1a0b076a3856 · outbound

This paper cites Basic cardiovas- cular variability signals: mutual directed interactions ex- plored in the information domain,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Basic cardiovas- cular variability signals: mutual directed interactions ex- plored in the information domain,

Reference 19

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Observation 0acbb971-4bb4-491a-8b5f-a9733244a1ed · outbound

This paper cites Cate- gorizing the role of respiration in cardiovascular and cere- brovascular variability interactions,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Cate- gorizing the role of respiration in cardiovascular and cere- brovascular variability interactions,

Reference 20

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Observation c9f1056b-bf04-49be-b6f2-375f0254e37c · outbound

This paper cites Local measures of information storage in complex distributed computation,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Local measures of information storage in complex distributed computation,

Reference 21

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Observation cf49fe1e-045e-4fcd-8348-9aa730d80352 · outbound

This paper cites Exploration of synergistic and redundant information sharing in static and dynamical gaussian sys- tems,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Exploration of synergistic and redundant information sharing in static and dynamical gaussian sys- tems,

Reference 22

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Observation 9574b8f0-3e3f-4f90-946b-ff3a4bf8be4d · outbound

This paper cites Network Representation of Higher-Order Interactions Based on Information Dynamics.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Network Representation of Higher-Order Interactions Based on Information Dynamics

Reference 23

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Observation bc815c73-ba5a-47ce-a5d6-de8ecdefcd3b · outbound

This paper cites Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysis,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysis,

Reference 24

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Observation 7767e970-2dac-40e5-9543-eecddf67872d · outbound

This paper cites Investigating dynamic high-order interactions in physiological networks through predictive information decomposition,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Investigating dynamic high-order interactions in physiological networks through predictive information decomposition,

Reference 25

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Observation 15c70c15-2599-4e40-978d-f98f01245275 · outbound

This paper cites Neural influences on cardiovascular vari- ability: possibilities and pitfalls,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Neural influences on cardiovascular vari- ability: possibilities and pitfalls,

Reference 26

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Observation 30efd95b-d306-45f0-8bd8-e8bafa67bc2f · outbound

This paper cites Estimating the dimension of a model,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Estimating the dimension of a model,

Reference 27

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This paper cites Univariate and multivariate conditional entropy mea- sures for the characterization of short-term cardiovascu- lar complexity under physiological stress,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Univariate and multivariate conditional entropy mea- sures for the characterization of short-term cardiovascu- lar complexity under physiological stress,

Reference 28

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This paper cites Blood pressure variability: clinical relevance and application,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Blood pressure variability: clinical relevance and application,

Reference 29

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Observation 41ad5ed6-29e9-495a-a11c-1f2142f6682d · outbound

This paper cites Mechanisms of causal interaction between short-term rr interval and systolic ar- terial pressure oscillations during orthostatic challenge,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Mechanisms of causal interaction between short-term rr interval and systolic ar- terial pressure oscillations during orthostatic challenge,

Reference 30

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This paper cites Quantifying net synergy/redundancy of sponta- neous variability regulation via predictability and trans- fer entropy decomposition frameworks,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Quantifying net synergy/redundancy of sponta- neous variability regulation via predictability and trans- fer entropy decomposition frameworks,

Reference 31

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Observation b443b57a-d391-4408-b61d-cbcb2d48fa3a · outbound

This paper cites Assessing the evolution of redun- dancy/synergy of spontaneous variability regulation with 11 age,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Assessing the evolution of redun- dancy/synergy of spontaneous variability regulation with 11 age,

Reference 32

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This paper cites Towards under- standing the complexity of cardiovascular oscillations: Insights from information theory,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Towards under- standing the complexity of cardiovascular oscillations: Insights from information theory,

Reference 33

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Observation ce76f38f-96f8-4ed0-af7a-ba946a8873a4 · outbound

This paper cites Paced breathing increases the redundancy of cardiorespiratory control in healthy individuals and chronic heart failure patients,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Paced breathing increases the redundancy of cardiorespiratory control in healthy individuals and chronic heart failure patients,

Reference 34

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Observation 0d25144f-5b83-4827-b78d-ab845f395a91 · outbound

This paper cites Information decom- position in the frequency domain: A new framework to study cardiovascular and cardiorespiratory oscillations,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Information decom- position in the frequency domain: A new framework to study cardiovascular and cardiorespiratory oscillations,

Reference 35

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Observation c85bbd97-6b99-49e4-9b6a-133ee34664d1 · outbound

This paper cites Transfer function analysis of the circulation: unique insights into cardiovascular regula- tion,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Transfer function analysis of the circulation: unique insights into cardiovascular regula- tion,

Reference 36

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Observation e30cfffc-2f09-4111-bcbd-65d09dc5cd3d · outbound

This paper cites Respiratory sinus arrhyth- mia in humans: how breathing pattern modulates heart rate,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks Respiratory sinus arrhyth- mia in humans: how breathing pattern modulates heart rate,

Reference 37

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Observation ed8bb2db-f0f4-475b-89f7-4adda0b74222 · outbound

This paper cites A new framework for the time-and frequency-domain assessment of high-order interactions in networks of random processes,.

Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks A new framework for the time-and frequency-domain assessment of high-order interactions in networks of random processes,

Reference 38

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