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Automated adaptive inference of phenomenological dynamical models

Nature communications, 2015-08, Vol.6 (1), p.8133-8133, Article 8133

2015

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Efficient inference of parsimonious phenomenological models of cellular dynamics using S-systems and alternating regression

PloS one, 2015-03, Vol.10 (3), p.e0119821-e0119821

2015

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The basis of easy controllability in Boolean networks

Nature communications, 2021-09, Vol.12 (1), p.5227-5227, Article 5227

2021

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Perspective: Sloppiness and emergent theories in physics, biology, and beyond

The Journal of chemical physics, 2015-07, Vol.143 (1), p.010901-010901

2015

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Individual and collective encoding of risk in animal groups

Proceedings of the National Academy of Sciences - PNAS, 2019-10, Vol.116 (41), p.20556-20561

2019

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Control of finite critical behaviour in a small-scale social system

Nature communications, 2017-02, Vol.8 (1), p.14301-14301, Article 14301

2017

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Criticality Distinguishes the Ensemble of Biological Regulatory Networks

Physical review letters, 2018-09, Vol.121 (13), p.138102-138102, Article 138102

2018

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Discovering sparse control strategies in neural activity

PLoS computational biology, 2022-05, Vol.18 (5), p.e1010072-e1010072

2022

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Quantifying Dynamical High-Order Interdependencies From the O-Information: An Application to Neural Spiking Dynamics

Frontiers in physiology, 2021-01, Vol.11, p.595736-595736

2021

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Identifying a developmental transition in honey bees using gene expression data

PLoS computational biology, 2023-09, Vol.19 (9), p.e1010704-e1010704

2023

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Dual Coding Theory Explains Biphasic Collective Computation in Neural Decision-Making

Frontiers in neuroscience, 2017-06, Vol.11, p.313-313

2017

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Sparse code of conflict in a primate society

Proceedings of the National Academy of Sciences - PNAS, 2012-08, Vol.109 (35), p.14259-14264

2012

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Automated, predictive, and interpretable inference of Caenorhabditis elegans escape dynamics

Proceedings of the National Academy of Sciences - PNAS, 2019-04, Vol.116 (15), p.7226-7231

2019

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Quantifying the impact of network structure on speed and accuracy in collective decision-making

Theory in biosciences = Theorie in den Biowissenschaften, 2021-11, Vol.140 (4), p.379-390

2021

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Quantifying collectivity

Current opinion in neurobiology, 2016-04, Vol.37, p.106-113

2016

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Early diagnosis of Alzheimer's disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images

PloS one, 2019-10, Vol.14 (10), p.e0222446-e0222446

2019

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Tyramine and its receptor TYR1 linked behavior QTL to reproductive physiology in honey bee workers (Apis mellifera)

Journal of insect physiology, 2020-10, Vol.126, p.104093-104093, Article 104093

2020

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Sloppiness, robustness, and evolvability in systems biology

Current opinion in biotechnology, 2008-08, Vol.19 (4), p.389-395

2008

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Innovations are disproportionately likely in the periphery of a scientific network

Theory in biosciences = Theorie in den Biowissenschaften, 2021-11, Vol.140 (4), p.391-399

2021

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Modeling and comparing data mining algorithms for prediction of recurrence of breast cancer

PloS one, 2020-10, Vol.15 (10), p.e0237658-e0237658

2020

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Collective memory in primate conflict implied by temporal scaling collapse

Journal of the Royal Society interface, 2017-09, Vol.14 (134)

2017

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Social network properties predict chronic aggression in commercial pig systems

PloS one, 2018-10, Vol.13 (10), p.e0205122-e0205122

2018

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Task dynamics define the contextual emergence of human corralling behaviors

PloS one, 2021-11, Vol.16 (11), p.e0260046-e0260046

2021

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Introduction to the special issue: quantifying collectivity

Theory in biosciences = Theorie in den Biowissenschaften, 2021-11, Vol.140 (4), p.321-323

2021

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Convenient Interface to Inverse Ising (ConIII): A Python 3 Package for Solving Ising-Type Maximum Entropy Models

Journal of open research software, 2019-03, Vol.7 (1), p.3

2019

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Automated adaptive inference of phenomenological dynamical models

Efficient inference of parsimonious phenomenological models of cellular dynamics using S-systems and alternating regression

The basis of easy controllability in Boolean networks

Perspective: Sloppiness and emergent theories in physics, biology, and beyond

Individual and collective encoding of risk in animal groups

Control of finite critical behaviour in a small-scale social system

Criticality Distinguishes the Ensemble of Biological Regulatory Networks

Discovering sparse control strategies in neural activity

Quantifying Dynamical High-Order Interdependencies From the O-Information: An Application to Neural Spiking Dynamics

Identifying a developmental transition in honey bees using gene expression data

Dual Coding Theory Explains Biphasic Collective Computation in Neural Decision-Making

Sparse code of conflict in a primate society

Automated, predictive, and interpretable inference of Caenorhabditis elegans escape dynamics

Quantifying the impact of network structure on speed and accuracy in collective decision-making

Quantifying collectivity

Early diagnosis of Alzheimer's disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images

Tyramine and its receptor TYR1 linked behavior QTL to reproductive physiology in honey bee workers (Apis mellifera)

Sloppiness, robustness, and evolvability in systems biology

Innovations are disproportionately likely in the periphery of a scientific network

Modeling and comparing data mining algorithms for prediction of recurrence of breast cancer

Collective memory in primate conflict implied by temporal scaling collapse

Social network properties predict chronic aggression in commercial pig systems

Task dynamics define the contextual emergence of human corralling behaviors

Introduction to the special issue: quantifying collectivity

Convenient Interface to Inverse Ising (ConIII): A Python 3 Package for Solving Ising-Type Maximum Entropy Models

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