Broadband Criticality of Human Brain Network Synchronization

Collective dynamics of ‘small-world’ networks

Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060

Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single subject brain

Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319

Multimodel Inference: Understanding AIC and BIC in Model Selection

Burnham, K. P., & Anderson, D. R. (2004) · Sociological Methods & Research · doi:10.1177/0049124104268644 · Cited by 11,648

Synchronization

PIKOVSKY, A. S., Rosenblum, M., & Kurths, J. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511755743 · Cited by 8,250

Chemical Oscillations, Waves, and Turbulence

Kuramoto, Y. (1984) · Springer series in synergetics · doi:10.1007/978-3-642-69689-3 · Cited by 7,242

Crystal Statistics. I. A Two-Dimensional Model with an Order-Disorder Transition

Onsager, L. (1944) · Physical Review · doi:10.1103/physrev.65.117 · Cited by 6,634

Synchronization a universal concept in nonlinear sciences

PIKOVSKY, A. S., Rosenblum, M. G., & Kurths, J. (2001) · Cited by 5,640

A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.

Fries, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.011 · Cited by 4,284

Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties

Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183

Beitrag zur Theorie des Ferromagnetismus

Ising, E. (1925) · Zeitschrift für Physik · doi:10.1007/bf02980577 · Cited by 3,871

Merging and Emerging: A Nonlinear Portrait of Intersubjectivity During Psychotherapy

Marks-Tarlow, T. (2011) · Psychoanalytic Dialogues · doi:10.1080/10481885.2011.545333 · Cited by 27

Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory

Ghaderi, A. H., Baltaretu, B. R., Andevari, M. N., Bharmauria, V., & Balcı, F. (2020) · Neural Computation · doi:10.1162/neco_a_01327 · Cited by 28

On The Biophysical Complexity of Brain Dynamics: An Outlook

Shettigar, N., Yang, C.-L., Tu, K.-C., & Suh, C. S. (2022) · Dynamics · doi:10.3390/dynamics2020006 · Cited by 28

May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data

Hancock, F., Rosas, F. E., Mediano, P. A. M., Luppi, A. I., Cabral, J., Dipasquale, O., & Turkheimer, F. (2022) · Journal of The Royal Society Interface · doi:10.1098/rsif.2022.0214 · Cited by 26

Improvements in task performance after practice are associated with scale-free dynamics of brain activity

Kardan, O., Stier, A. J., Layden, E. A., Choe, K. W., Lyu, M., Zhang, X.-H., Beilock, S. L., Rosenberg, M. D., & Berman, M. G. (2023) · Network Neuroscience · doi:10.1162/netn_a_00319 · Cited by 27

Signal integration enhances the dynamic range in neuronal systems

Gollo, L. L., Mirasso, C. R., & Eguı́luz, V. M. (2012) · Physical Review E · doi:10.1103/physreve.85.040902 · Cited by 26

Letting the Brain Speak for Itself

Werner, G. (2011) · Frontiers in Physiology · doi:10.3389/fphys.2011.00060 · Cited by 26

A Guide to Dictionary-Based Text Mining

Cook, H., & Jensen, L. J. (2019) · Methods in molecular biology · doi:10.1007/978-1-4939-9089-4_5 · Cited by 28

Multiscale information storage of linear long-range correlated stochastic processes

Faes, L., Pereira, M., Silva, M. E., Pernice, R., Busacca, A., Javorka, M., & Rocha, A. P. (2019) · Physical review. E · doi:10.1103/physreve.99.032115 · Cited by 26

Metastability as a candidate neuromechanistic biomarker of schizophrenia pathology

Hancock, F., Rosas, F. E., McCutcheon, R. A., Cabral, J., Dipasquale, O., & Turkheimer, F. (2023) · PLoS ONE · doi:10.1371/journal.pone.0282707 · Cited by 25

Time-dependent solution of the NIMFA equations around the epidemic threshold

Prasse, B., & Mieghem, P. V. (2020) · Journal of Mathematical Biology · doi:10.1007/s00285-020-01542-6 · Cited by 25

Building Blocks for the Development of a Self-Consistent Electromagnetic Field Theory of Consciousness

Keppler, J. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.723415 · Cited by 28

In touch: Cardiac and respiratory patterns synchronize during ensemble singing with physical contact

Lange, E. B., Omigie, D., Trenado, C., Müller, V., Wald-Fuhrmann, M., & Merrill, J. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.928563 · Cited by 24

Phase synchronization and measure of criticality in a network of neural mass models

Kazemi, S., & Jamali, Y. (2022) · Scientific Reports · doi:10.1038/s41598-022-05285-w · Cited by 26

The Fractal Self at Play.

Marks-Tarlow, T. (2010) · American journal of play · Cited by 24

Kuramoto Model-Based Analysis Reveals Oxytocin Effects on Brain Network Dynamics

Zheng, S., Liang, Z., Qu, Y., Wu, Q., Wu, H., & Liu, Q. (2021) · International Journal of Neural Systems · doi:10.1142/s0129065722500022 · Cited by 23

Multistability in coupled oscillator systems with higher-order interactions and community structure

Skardal, P. S., Adhikari, S., & Restrepo, J. G. (2023) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/5.0106906 · Cited by 23

The emergence of abnormal hypersynchronization in the anatomical structural network of human brain

Yan, B., & Li, P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.031 · Cited by 23

Self-organization and Emergence of Dynamical Structures in Neuromorphic Atomic Switch Networks

Stieg, A. Z., Avizienis, A. V., Sillin, H. O., Aguilera, R., Shieh, H.-H., Martin‐Olmos, C., Sandouk, E. J., Aono, M., & Gimzewski, J. K. (2013) · Springer eBooks · doi:10.1007/978-3-319-02630-5_10 · Cited by 23

The role of self‐injury in the organisation of behaviour

Sandman, C. A., Kemp, A. S., Mabini, C., Pincus, D., & Magnússon, M. S. (2012) · Journal of Intellectual Disability Research · doi:10.1111/j.1365-2788.2012.01552.x · Cited by 23

Non-linear Dynamical Analysis of Intraspinal Pressure Signal Predicts Outcome After Spinal Cord Injury

Chen, S., Gallagher, M. J., Papadopoulos, M. C., & Saadoun, S. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00493 · Cited by 23

Distance-based functional criticality in the human brain: intelligence and emotional intelligence

Jiang, L., Qiao, K., & Li, C. (2021) · BMC Bioinformatics · doi:10.1186/s12859-021-03973-4 · Cited by 22

Resting state MEG oscillations show long-range temporal correlations of phase synchrony that break down during finger movement

Botcharova, M., Luc Berthouze, A., Brookes, M. J., Barnes, G. R., & Farmer, S. F. (2015) · Frontiers in Physiology · doi:10.3389/fphys.2015.00183 · Cited by 22

Working memory performance inversely predicts spontaneous delta and theta-band scaling relations

Euler, M. J., Wiltshire, T. J., Niermeyer, M. A., & Butner, J. (2016) · Brain Research · doi:10.1016/j.brainres.2016.02.008 · Cited by 22

“More Is Different” in Functional Magnetic Resonance Imaging: A Review of Recent Data Analysis Techniques

Lohmann, G., Stelzer, J., Neumann, J., Ay, N., & Turner, R. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0133 · Cited by 21

From Neural and Social Cooperation to the Global Emergence of Cognition

Paolo Grigolini, A., Piccinini, N., Svenkeson, A., Pramukkul, P., Lambert, D., & West, B. J. (2015) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2015.00078 · Cited by 21

Emergence of Criticality in the Transportation Passenger Flow: Scaling and Renormalization in the Seoul Bus System

Goh, S., Lee, K., Choi, M. Y., & Fortin, J.-Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089980 · Cited by 21

Unveiling causal activity of complex networks

Williams-García, R. V., Beggs, J. M., & Ortíz, G. (2017) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/119/18003 · Cited by 21

Not One, but Many Critical States: A Dynamical Systems Perspective

Groß, T. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.614268 · Cited by 20

The effect of turbulence in brain dynamics information transfer measured with magnetoencephalography

Deco, G., Garcia, S. L., Perl, Y. S., Sporns, O., & Kringelbach, M. L. (2023) · Communications Physics · doi:10.1038/s42005-023-01192-2 · Cited by 20

Intrinsic Neural Linkage between Primary Visual Area and Default Mode Network in Human Brain: Evidence from Visual Mental Imagery

Zhang, Z., Zhang, D., Wang, Z., Li, J., Lin, Y., Chang, S., Huang, R., & Liu, M. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.02.033 · Cited by 20

Criticality Creates a Functional Platform for Network Transitions Between Internal and External Processing Modes in the Human Brain

Kim, M., Kim, H., Huang, Z., Mashour, G. A., Jordan, D., Ilg, R., & Lee, U. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.657809 · Cited by 20

Commentary: The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs

Papo, D. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00423 · Cited by 20

The Dynamical and Structural Basis of Brain Activity

Deco, G., Jirsa, V., & Friston, K. J. (2012) · The MIT Press eBooks · doi:10.7551/mitpress/9108.003.0003 · Cited by 19

Discrimination of a medial functional module within the temporal lobe using an effective connectivity model: A CCEP study

Krieg, J., Koessler, L., Jonas, J., Colnat‐Coulbois, S., Vignal, J., Bénar, C., & Maillard, L. G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.061 · Cited by 19

Behavior of Early Warnings near the Critical Temperature in the Two-Dimensional Ising Model

Morales, I. O., Landa, E., Angeles, C. C., Toledo, J. C., Rivera, A. L., Mendoza-Temis, J., & Frank, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0130751 · Cited by 19

Using large-scale neural models to interpret connectivity measures of cortico-cortical dynamics at millisecond temporal resolution

Banerjee, A., Pillai, A. S., & Horwitz, B. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00102 · Cited by 19

Structure and Topology Dynamics of Hyper-Frequency Networks during Rest and Auditory Oddball Performance

Müller, V., Perdikis, D., von Oertzen, T., Sleimen-Malkoun, R., Jirsa, V., & Lindenberger, U. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00108 · Cited by 18

High-energy brain dynamics during anesthesia-induced unconsciousness

Riehl, J. R., Palanca, B. J. A., & Ching, S. (2017) · Network Neuroscience · doi:10.1162/netn_a_00023 · Cited by 18

Critical synchronization and 1/f noise in inhibitory/excitatory rich-club neural networks

Aguilar-Velázquez, D., & Guzmán-Vargas, L. (2019) · Scientific Reports · doi:10.1038/s41598-018-37920-w · Cited by 19

Self-sustained non-periodic activity in networks of spiking neurons: The contribution of local and long-range connections and dynamic synapses

Stratton, P. G., & Wiles, J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.027 · Cited by 18

Criticality as a Set-Point for Adaptive Behavior in Neuromorphic Hardware

Srinivasa, N., Stepp, N. D., & Cruz-Albrecht, J. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00449 · Cited by 18

Multimodal analysis of resting state cortical activity: What does fMRI add to our knowledge of microstates in resting state EEG activity?

Lehmann, D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.033 · Cited by 18

Comment on “Broadband Criticality of Human Brain Network Synchronization” by Kitzbichler MG, Smith ML, Christensen SR, Bullmore E (2009) PLoS Comput Biol 5: e1000314

Farmer, S. F. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004174 · Cited by 18

Turbulence as a framework for brain dynamics in health and disease

Deco, G., Perl, Y. S., Jerotic, K., Escrichs, A., & Kringelbach, M. L. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105988 · Cited by 17

Psychedelics and disorders of consciousness: the current landscape and the path forward

Cardone, P., Alnagger, N., Annen, J., Bicego, A., Gosseries, O., & Martial, C. (2024) · Neuroscience of Consciousness · doi:10.1093/nc/niae025 · Cited by 18

Power-law distribution of phase-locking intervals does not imply critical interaction

Botcharova, M., Farmer, S. F., & Luc Berthouze, A. (2012) · Physical Review E · doi:10.1103/physreve.86.051920 · Cited by 17

Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks

Piersa, J., Piȩkniewski, F., & Schreiber, T. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2066989 · Cited by 17

Likeness-Based Detection of Sleep Slow Oscillations in Normal and Altered Sleep Conditions: Application on Low-Density EEG Recordings

Piarulli, A., Menicucci, D., Gemignani, A., Olcese, U., D’Ascanio, P., Pingitore, A., Bedini, R., & Landi, A. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2031983 · Cited by 18

Inference of direct and multistep effective connectivities from functional connectivity of the brain and of relationships to cortical geometry

Mehta-Pandejee, G., Robinson, P. A., Henderson, J. A., Aquino, K. M., & Sarkar, S. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.03.014 · Cited by 17

Alpha oscillation, criticality, and responsiveness in complex brain networks

Kim, M., & Lee, U. (2019) · Network Neuroscience · doi:10.1162/netn_a_00113 · Cited by 19

Chaotic Signal Induced Delay Decay in Hodgkin-Huxley Neuron

Baysal, V., & Yılmaz, E. (2021) · Applied Mathematics and Computation · doi:10.1016/j.amc.2021.126540 · Cited by 17

Information-Based Principle Induces Small-World Topology and Self-Organized Criticality in a Large Scale Brain Network

Takagi, K. (2018) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2018.00065 · Cited by 18

Relevance Realization and the Neurodynamics and Neuroconnectivity of General Intelligence

Vervaeke, J., & Ferraro, L. (2013) · Springer eBooks · doi:10.1007/978-1-4614-6409-9_6 · Cited by 17

Critical Brain Dynamics at Large Scale

Chialvo, D. R. (2014) · Wiley eBooks · doi:10.1002/9783527651009.ch3 · Cited by 17

Modeling the Ongoing Dynamics of Short and Long-Range Temporal Correlations in Broadband EEG During Movement

Wairagkar, M., Hayashi, Y., & Nasuto, S. J. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2019.00066 · Cited by 16

The role of driver nodes in managing epileptic seizures: Application of Kuramoto model

Mohseni, A., Gharibzadeh, S., & Bakouie, F. (2017) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2017.02.013 · Cited by 16

Node Degree and Strength

(2016) · Elsevier eBooks · doi:10.1016/b978-0-12-407908-3.00004-2 · Cited by 16

Playing at the Edge of Criticality: Expanded Whole-Brain Repertoire of Connectome-Harmonics

Atasoy, S., Deco, G., & Kringelbach, M. L. (2019) · Springer series on bio- and neurosystems · doi:10.1007/978-3-030-20965-0_2 · Cited by 17

Low Frequency Phase-locking of Brain Signals Contribute to Efficient Face Recognition

Wang, Y., Huang, X., Yang, X., Yang, Q., Wang, X., Northoff, G., Pang, Y., Wang, C., Cui, Q., & Chen, H. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.10.024 · Cited by 18

Complexity Matching and Requisite VarietyPreprint

Mahmoodi, K., West, B. J., & Paolo Grigolini, A. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/414755 · Cited by 16

From brain states to mental phenomena via phase space transitions and renormalization group transformation: proposal of a theory

Werner, G. (2012) · Cognitive Neurodynamics · doi:10.1007/s11571-011-9187-4 · Cited by 15

Segregated brain state during hypnosis

Tuominen, J., Kallio, S., Kaasinen, V., & Railo, H. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab002 · Cited by 16

A broadband method of quantifying phase synchronization for discriminating seizure EEG signals

Wang, L., Long, X., Aarts, R. M., van Dijk, J. P., & Arends, J. B. A. M. (2018) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2018.10.019 · Cited by 15

Deep Temporal Organization of fMRI Phase Synchrony Modes Promotes Large-Scale Disconnection in Schizophrenia

Zarghami, T. S., Hossein‐Zadeh, G., & Bahrami, F. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00214 · Cited by 14

Stability and memory-loss go hand-in-hand: three results in dynamics and computation

Manjunath, G. P. (2020) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2020.0563 · Cited by 14

From the origins to the stream of consciousness and its neural correlates

Yurchenko, S. B. (2022) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2022.928978 · Cited by 14

An Introduction to Brain Networks

(2016) · Elsevier eBooks · doi:10.1016/b978-0-12-407908-3.00001-7 · Cited by 16

Kolmogorov complexity of epithelial pattern formation: The role of regulatory network configuration

Flann, N. S., Mohamadlou, H., & Podgorski, G. J. (2013) · Biosystems · doi:10.1016/j.biosystems.2013.03.005 · Cited by 14

Investigating the effects of nitrous oxide sedation on frontal-parietal interactions

Ryu, J.-H., Kim, P., Kim, H., Koo, Y. S., & Shin, T. J. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.04.036 · Cited by 14

Saccades and presaccadic stimulus repetition alter cortical network topology and dynamics: evidence from EEG and graph theoretical analysis

Ghaderi, A., Niemeier, M., & Crawford, J. D. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac194 · Cited by 13

Characterization of the neuronal and network dynamics of liquid state machines

Woo, J., Kim, S. H., Kim, H., & Han, K. (2023) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2023.129334 · Cited by 16

Enabling An New Era of Brain-inspired Computing: Energy-efficient Spiking Neural Network with Ring Topology

Bai, K., Li, J., Hamedani, K., & Yi, Y. (2018) · ACM/IEEE Design Automation Conference (DAC) · doi:10.1145/3195970.3196044 · Cited by 13

K-th Nearest Neighbor (KNN) Entropy Estimates of Complexity and Integration from Ongoing and Stimulus-Evoked Electroencephalographic (EEG) Recordings of the Human Brain

Trujillo, L. T. (2019) · Entropy · doi:10.3390/e21010061 · Cited by 13

Energy constraints on brain network formation

Takagi, K. (2021) · Scientific Reports · doi:10.1038/s41598-021-91250-y · Cited by 13

Characterization of dynamics and information processing of integrate-and-fire neuron models

Woo, J., Kim, S. H., Han, K., & Choi, M. Y. (2021) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/ac2a54 · Cited by 13

Influences on and Measures of Unintentional Group Synchrony

Ellamil, M., Berson, J., & Margulies, D. S. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01744 · Cited by 13

EEG source‐space synchrostate transitions and Markov modeling in the math‐gifted brain during a long‐chain reasoning task

Zhang, L., Gan, J. Q., Zhu, Y., Wang, J., & Wang, H. (2020) · Human Brain Mapping · doi:10.1002/hbm.25035 · Cited by 13

Short- and Long-Range Connections Differentially Modulate the Dynamics and State of Small-World Networks

Arvin, S., Glud, A. N., & Yonehara, K. (2022) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2021.783474 · Cited by 14

Introduction to the Fractality Principle of Consciousness and the Sentyon Postulate

Bieberich, E. (2011) · Cognitive Computation · doi:10.1007/s12559-011-9104-5 · Cited by 15

Neutral Stability, Rate Propagation, and Critical Branching in Feedforward Networks

Cayco-Gajic, N. A., & Shea‐Brown, E. (2013) · Neural Computation · doi:10.1162/neco_a_00461 · Cited by 12

An active dendritic tree can mitigate fan-in limitations in superconducting neurons

Primavera, B. A., & Shainline, J. M. (2021) · Applied Physics Letters · doi:10.1063/5.0077142 · Cited by 12

A pattern of cognitive resource disruptions in childhood psychopathology

Stier, A. J., Cardenas‐Iniguez, C., Kardan, O., Moore, T. M., Meyer, F. A. C., Rosenberg, M. D., Kaczkurkin, A. N., Lahey, B. B., & Berman, M. G. (2023) · Network Neuroscience · doi:10.1162/netn_a_00322 · Cited by 12

BEHAVIOURAL COMPLEXITY

Al-Suwailem, S. I. (2010) · Journal of Economic Surveys · doi:10.1111/j.1467-6419.2010.00657.x · Cited by 12

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Sik, H. H., Gao, J., Fan, J., Wu, B. W. Y., Leung, H. K., & Hung, Y. S. (2017) · Journal of Visualized Experiments · doi:10.3791/55455 · Cited by 12

Critical neuromorphic computing based on explosive synchronization

Choi, J., & Kim, P. (2019) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.5086902 · Cited by 12

Principles of Mutual Information Maximization and Energy Minimization Affect the Activation Patterns of Large Scale Networks in the Brain

Takagi, K. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2019.00086 · Cited by 12

Mechanisms Explaining Transitions between Tonic and Phasic Firing in Neuronal Populations as Predicted by a Low Dimensional Firing Rate Model

Rǎdulescu, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012695 · Cited by 12

Scrutinizing the feasibility of macroscopic quantum coherence in the brain: a field-theoretical model of cortical dynamics

Keppler, J. (2023) · Frontiers in Physics · doi:10.3389/fphy.2023.1181416 · Cited by 13

Input-Dependent Wave Attenuation in a Critically-Balanced Model of Cortex

Yan, X.-H., & Magnasco, M. O. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041419 · Cited by 11

Strobing brain thunders: Functional correlation of extreme activity events

Lombardi, F., Chialvo, D. R., Herrmann, H. J., & de Arcangelis, L. (2013) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2013.06.003 · Cited by 11

Criticality in the Brain: Evidence and Implications for Neuromorphic Computing

Trastoy, J., & Schuller, I. K. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.7b00507 · Cited by 11

Network Localization Is Unalterable by Infections in Bursts

Liu, Q., & Mieghem, P. V. (2018) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2018.2889539 · Cited by 11

Nonlinear Dynamics Analysis of a Self-Organizing Recurrent Neural Network: Chaos Waning

Eser, J., Zheng, P., & Triesch, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086962 · Cited by 11

The Predictability of Synchronicity Experience: Results from a Survey of Jungian Analysts

Sacco, R. G. (2019) · International Journal of Psychological Studies · doi:10.5539/ijps.v11n3p46 · Cited by 11

Superconducting Optoelectronic Neurons V: Networks and ScalingPreprint

Shainline, J. M., Chiles, J., Buckley, S. M., McCaughan, A. N., Mirin, R. P., & Nam, S. W. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1805.01942 · Cited by 12

Eigenmode-based approach reveals a decline in brain structure–function liberality across the human lifespan

Yang, Y., Tang, S., Wang, X., Zhen, Y., Zheng, Y., Zheng, H., Liu, L., & Zheng, Z. (2023) · Communications Biology · doi:10.1038/s42003-023-05497-4 · Cited by 10

Effect of autaptic synapse on signal transmission performance of dressed Hodgkin–Huxley neuron

Erkan, E., & Erkan, Y. (2024) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2024.115579 · Cited by 10

Explosive Synchronization-Based Brain Modulation Reduces Hypersensitivity in the Brain Network: A Computational Model Study

Kim, M., Harris, R. E., DaSilva, A. F. M., & Lee, U. (2022) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2022.815099 · Cited by 11

What lies underneath: Precise classification of brain states using time-dependent topological structure of dynamics

Toscano, F. S., Galadí, J. A., Escrichs, A., Perl, Y. S., López‐González, A., Sitt, J. D., Annen, J., Gosseries, O., Thibaut, A., Panda, R., et al. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010412 · Cited by 10

Markers of criticality in phase synchronization

Botcharova, M., Farmer, S. F., & Luc Berthouze, A. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00176 · Cited by 53

Hierarchical whole-brain modeling of critical synchronization dynamics in human brainPreprint

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