Hierarchy and dynamics of neural networks

Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal

Ndiaye, M., Lespez, L., Tribolo, C., Rassé, M., Hadjas, I., Davidoux, S., Huysecom, É., & Douze, K. (2024) · Monash University Research Portal (Monash University) · doi:10.3929/ethz-b-000667478 · Cited by 24,214

Complex brain networks: graph theoretical analysis of structural and functional systems

Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820

Distributed hierarchical processing in the primate cerebral cortex

Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783

Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication

Jaeger, H., & Haas, H. (2004) · Science · doi:10.1126/science.1091277 · Cited by 3,811

Preface: Cerebral Cortex Has Come of Age

Goldman, P. S., & RAKIC, P. T. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1-a · Cited by 3,537

Hierarchical organization in complex networks

Ravasz, E., & Barabási, A.-L. (2003) · Physical Review E · doi:10.1103/physreve.67.026112 · Cited by 2,160

Organization, development and function of complex brain networks

SPORNS, O., CHIALVO, D., KAISER, M., & HILGETAG, C. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.07.008 · Cited by 2,055

NEURONAL CIRCUITS OF THE NEOCORTEX

Douglas, R. J., & Martin, K. A. C. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144152 · Cited by 1,886

Identification and classification of hubs in brain networks

Sporns, O., Honey, C. J., & Kötter, R. (2007) · PLoS ONE · doi:10.1371/journal.pone.0001049 · Cited by 1,165

Velocity and Hierarchical Spread of Epidemic Outbreaks in Scale-Free Networks

Barthélemy, M., Barrat, A., Pastor‐Satorras, R., & Vespignani, A. (2004) · Physical Review Letters · doi:10.1103/physrevlett.92.178701 · Cited by 724

The economy of brain network organization

Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284

Modular brain networks

Sporns, O., & Betzel, R. F. (2016) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033634 · Cited by 1,334

The metastable brain

Tognoli, E., & Kelso, J. A. S. (2014) · Neuron · doi:10.1016/j.neuron.2013.12.022 · Cited by 718

The Functional Benefits of Criticality in the Cortex

Shew, W. L., & Plenz, D. (2013) · The Neuroscientist · doi:10.1177/1073858412445487 · Cited by 607

Multi-scale brain networks

Betzel, R. F., & Bassett, D. S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.006 · Cited by 587

The organization of physiological brain networks

Stam, C. J., & van Straaten, E. C. W. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.01.011 · Cited by 591

Answering Schrödinger's question: A free-energy formulation

Ramstead, M. J. D., Badcock, P. B., & Friston, K. J. (2018) · Physics of Life Reviews · doi:10.1016/j.plrev.2017.09.001 · Cited by 354

Randomness in neural networks: an overview

Scardapane, S., & Wang, D. (2017) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1200 · Cited by 362

‘Hierarchy’ in the organization of brain networks

Hilgetag, C. C., & Goulas, A. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0319 · Cited by 239

The hierarchically mechanistic mind: A free-energy formulation of the human psyche

Badcock, P. B., Friston, K. J., & Ramstead, M. J. D. (2019) · Physics of Life Reviews · doi:10.1016/j.plrev.2018.10.002 · Cited by 217

The depressed brain: an evolutionary systems theory

Badcock, P. B., Davey, C. G., Whittle, S., Allen, N. B., & Friston, K. J. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.01.005 · Cited by 190

The hierarchically mechanistic mind: an evolutionary systems theory of the human brain, cognition, and behavior

Badcock, P. B., Friston, K. J., Ramstead, M. J. D., Ploeger, A., & Hohwy, J. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00721-3 · Cited by 175

On the origins of hierarchy in complex networks

Corominas-Murtra, B., Goñi, J., Solé, R. V., & Rodríguez-Caso, C. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1300832110 · Cited by 160

Is the brain really a small-world network?

Hilgetag, C. C., & Goulas, A. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1035-6 · Cited by 144

Preferential Detachment During Human Brain Development: Age- and Sex-Specific Structural Connectivity in Diffusion Tensor Imaging (DTI) Data

Lim, S. I., Han, C. E., Uhlhaas, P. J., & Kaiser, M. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht333 · Cited by 154

The evolutionary origins of hierarchy

Mengistu, H., Huizinga, J., Mouret, J.-B., & Clune, J. (2016) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004829 · Cited by 115

Human Brain Functional Network Changes Associated with Enhanced and Impaired Attentional Task Performance

Gießing, C., Thiel, C. M., Alexander‐Bloch, A. F., Patel, A. X., & Bullmore, E. T. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4854-12.2013 · Cited by 114

Thalamic interactions of cerebellum and basal ganglia

Hintzen, A., Pelzer, E. A., & Tittgemeyer, M. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1584-y · Cited by 110

Frustrated hierarchical synchronization and emergent complexity in the human connectome network

Villegas, P., Moretti, P., & Muñoz, M. A. (2014) · Scientific Reports · doi:10.1038/srep05990 · Cited by 105

Influence of Wiring Cost on the Large-Scale Architecture of Human Cortical Connectivity

Samu, D., Seth, A. K., & Nowotny, T. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003557 · Cited by 95

A review of modularization techniques in artificial neural networks

Amer, M., & Maul, T. (2019) · Artificial Intelligence Review · doi:10.1007/s10462-019-09706-7 · Cited by 97

Interrelating anatomical, effective, and functional brain connectivity using propagators and neural field theory

Robinson, P. A. (2012) · Physical Review E · doi:10.1103/physreve.85.011912 · Cited by 83

Optimal modularity and memory capacity of neural reservoirs

Rodriguez, N., Izquierdo, E. J., & Ahn, Y. (2019) · Network Neuroscience · doi:10.1162/netn_a_00082 · Cited by 65

Graph-based network analysis in schizophrenia

Micheloyannis, S. (2012) · World Journal of Psychiatry · doi:10.5498/wjp.v2.i1.1 · Cited by 59

Microstructure-Informed Connectomics: Enriching Large-Scale Descriptions of Healthy and Diseased Brains

Larivière, S., de Wael, R. V., Paquola, C., Hong, S., Mišić, B., Bernasconi, N., Bernasconi, A., Bonilha, L., & Bernhardt, B. C. (2018) · Brain Connectivity · doi:10.1089/brain.2018.0587 · Cited by 51

Evolution and development of Brain Networks: From Caenorhabditis elegans to Homo sapiens

Kaiser, M., & Varier, S. (2011) · Network Computation in Neural Systems · doi:10.3109/0954898x.2011.638968 · Cited by 54

Multiscale communication in cortico-cortical networks

Bazinet, V., de Wael, R. V., Hagmann, P., Bernhardt, B. C., & Mišić, B. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118546 · Cited by 53

Griffiths phases and localization in hierarchical modular networks

Ódor, G., Dickman, R., & Ódor, G. (2015) · Scientific Reports · doi:10.1038/srep14451 · Cited by 49

The epilepsies: Complex challenges needing complex solutions

Tejada, J., Costa, K. M., Bertti, P., & Garcia‐Cairasco, N. (2012) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2012.09.029 · Cited by 47

Dynamic hub load predicts cognitive decline after resective neurosurgery

Carbo, E. W. S., Hillebrand, A., van Dellen, E., Tewarie, P. K. B., Hamer, P. C. D. W., Baayen, J. C., Klein, M., Geurts, J. J. G., Reijneveld, J. C., Stam, C. J., et al. (2017) · Scientific Reports · doi:10.1038/srep42117 · Cited by 42

From Caenorhabditis elegans to the human connectome: a specific modular organization increases metabolic, functional and developmental efficiency

Kim, J. S., & Kaiser, M. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0529 · Cited by 42

Exploring Statistical and Population Aspects of Network Complexity

Emmert‐Streib, F., & Dehmer, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034523 · Cited by 44

Generalization in neural networks: A broad survey

Rohlfs, C. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.128701 · Cited by 51

Griffiths phases and localization in hierarchical modular networks

Ódor, G., Dickman, R., & Ódor, G. (2015) · Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) · Cited by 37

Effects of Rest-Break on mental fatigue recovery based on EEG dynamic functional connectivity

Xu, T., Xu, L., Zhang, H., Ji, Z., Li, J., Bezerianos, A., & Wang, H. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2022.103806 · Cited by 32

Random walk hierarchy measure: What is more hierarchical, a chain, a tree or a star?

Czégel, D., & Palla, G. (2015) · Scientific Reports · doi:10.1038/srep17994 · Cited by 33

Network Hierarchy Evolution and System Vulnerability in Power Grids

Luo, L., Han, B., & Rosas-Casals, M. (2016) · IEEE Systems Journal · doi:10.1109/jsyst.2016.2628410 · Cited by 31

Critical dynamics on a large human Open Connectome network

Ódor, G. (2016) · Physical review. E · doi:10.1103/physreve.94.062411 · Cited by 30

Hierarchical Self-Organization of Non-Cooperating Individuals

Nepusz, T., & Vicsek, T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0081449 · Cited by 28

Hierarchical networks of scientific journals

Palla, G., Tibély, G., Mones, E., Pollner, P., & Vicsek, T. (2015) · Humanities and Social Sciences Communications · doi:10.1057/palcomms.2015.16 · Cited by 29

Culture, Mind, and Brain

(2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374 · Cited by 30

Culture in Mind – An Enactivist Account

Hutto, D. D., Gallagher, S., Ilundáin‐Agurruza, J., & Hipólito, I. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.009 · Cited by 29

The Networking Brain: How Extracellular Matrix, Cellular Networks, and Vasculature Shape the In Vivo Mechanical Properties of the Brain

Bergs, J. W. J., Morr, A. S., Silva, R. V., Infante‐Duarte, C., & Sack, I. (2024) · Advanced Science · doi:10.1002/advs.202402338 · Cited by 26

Integrating Temporal and Spatial Scales: Human Structural Network Motifs Across Age and Region of Interest Size

Echtermeyer, C., Han, C. E., Rotarska-Jagiela, A., Mohr, H. M., Uhlhaas, P. J., & Kaiser, M. (2011) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2011.00010 · Cited by 24

Heterogeneous excitable systems exhibit Griffiths phases below hybrid phase transitions

Ódor, G., & de Simoni, B. (2021) · Physical Review Research · doi:10.1103/physrevresearch.3.013106 · Cited by 21

The Brain as a Cultural Artifact: Concepts, Actions, and Experiences within the Human Affective Niche

Gendron, M., Mesquita, B., & Barrett, L. F. (2020) · Culture, Mind, and Brain · doi:10.1017/9781108695374.010 · Cited by 20

Active Inference in Psychology and Psychiatry: Progress to Date?

Badcock, P. B., & Davey, C. G. (2024) · Entropy · doi:10.3390/e26100833 · Cited by 23

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

Robustness of Griffiths effects in homeostatic connectome models

Ódor, G. (2019) · Physical review. E · doi:10.1103/physreve.99.012113 · Cited by 16

Pathways towards truly brain-like computing primitives

Terasa, M.-I., Birkoben, T., Noll, M., Adejube, B., Madurawala, R., Carstens, N., Strunskus, T., Kaps, S., Faupel, F., Vahl, A., et al. (2023) · Materials Today · doi:10.1016/j.mattod.2023.07.019 · Cited by 17

A Hierarchical Latent Space Network Model for Population Studies of Functional Connectivity

Wilson, J. D., Cranmer, S., & Lu, Z. (2020) · Computational Brain & Behavior · doi:10.1007/s42113-020-00080-0 · Cited by 19

Heterogeneous excitable systems exhibit Griffiths phases below hybrid phase transitions

Ódor, G., & de Simoni, B. (2021) · Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) · Cited by 16

Culture, Mind, and Brain: Emerging Concepts, Models, and Applications

Kirmayer, L. J., Worthman, C. M., Kitayama, S., Lemelson, R., & Cummings, C. A. (2020) · Cited by 15

Response inhibition in premotor cortex corresponds to a complex reshuffle of the mesoscopic information network

Bardella, G., Giuffrida, V., Giarrocco, F., Brunamonti, E., Pani, P., & Ferraina, S. (2024) · Network Neuroscience · doi:10.1162/netn_a_00365 · Cited by 14

An Algorithm for Finding Candidate Synaptic Sites in Computer Generated Networks of Neurons with Realistic Morphologies

van Pelt, J., Carnell, A., de Ridder, S., Mansvelder, H. D., & Arjen Van Ooyen, B. (2010) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2010.00148 · Cited by 14

Topological dimension tunes activity patterns in hierarchical modular networks

Safari, A., Moretti, P., & Muñoz, M. A. (2017) · New Journal of Physics · doi:10.1088/1367-2630/aa823e · Cited by 14

Multilevel Mesoscale Complexities in Mesoregimes: Challenges in Chemical and Biochemical Engineering

Chen, J., Ren, Y., Huang, W. L., Zhang, L., & Li, J. (2022) · Annual Review of Chemical and Biomolecular Engineering · doi:10.1146/annurev-chembioeng-092220-115031 · Cited by 13

Time evolution of the hierarchical networks between PubMed MeSH terms

Balogh, S. G., Zagyva, D., Pollner, P., & Palla, G. (2019) · PLoS ONE · doi:10.1371/journal.pone.0220648 · Cited by 16

The population firing rate in the presence of GABAergic tonic inhibition in single neurons and application to general anaesthesia

Hutt, A. (2011) · Cognitive Neurodynamics · doi:10.1007/s11571-011-9182-9 · Cited by 13

Rounding of abrupt phase transitions in brain networks

Martín, P. V., Moretti, P., & Muñoz, M. A. (2015) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2015/01/p01003 · Cited by 12

Glassy nature of hierarchical organizations

Zamani, M., & Vicsek, T. (2017) · Scientific Reports · doi:10.1038/s41598-017-01503-y · Cited by 11

Trade-offs among cost, integration, and segregation in the human connectome

Ma, J., Chen, X., Gu, Y., Li, L., Cam-CAN, Lin, Y. L., & Dai, Z. (2022) · Network Neuroscience · doi:10.1162/netn_a_00291 · Cited by 11

On neighbourhood degree sequences of complex networks

Smith, K. (2019) · Scientific Reports · doi:10.1038/s41598-019-44907-8 · Cited by 10

Induced synchronization by endogenous noise modulation in finite-size random neural networks: A stochastic mean-field study

Lefebvre, J., & Hutt, A. (2023) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/5.0167771 · Cited by 9

Neuroanthropological Perspectives on Culture, Mind, and Brain

Lende, D. H., & Downey, G. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.014 · Cited by 10

On neighbourhood degree sequences of complex networks

Smith, K. (2019) · Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) · Cited by 9

Creative destruction: Sparse activity emerges on the mammal connectome under a simulated communication strategy with collisions and redundancy

Yan, H., & Graham, D. (2020) · Network Neuroscience · doi:10.1162/netn_a_00165 · Cited by 9

Building a model of the brain: from detailed connectivity maps to network organization

Shimoura, R. O., Pena, R. F. O., Lima, V., Kamiji, N. L., Girardi‐Schappo, M., & Roque, A. C. (2021) · The European Physical Journal Special Topics · doi:10.1140/epjs/s11734-021-00152-7 · Cited by 10

Nonuniversal power-law dynamics of susceptible infected recovered models on hierarchical modular networks

Ódor, G. (2021) · Physical review. E · doi:10.1103/physreve.103.062112 · Cited by 8

Changing Connectomes

Kaiser, M. (2020) · The MIT Press eBooks · doi:10.7551/mitpress/11980.001.0001 · Cited by 25

Determination of effective brain connectivity from functional connectivity using propagator-based interferometry and neural field theory with application to the corticothalamic system

Robinson, P. A. (2014) · Physical Review E · doi:10.1103/physreve.90.042712 · Cited by 8

Mutual Constitution of Culture and the Mind

Kitayama, S., & Yu, Q. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.006 · Cited by 9

A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems

Guo, Y., Zou, X., Hu, Y., Yang, Y., Wang, X., He, Y., Kong, R., Guo, Y., Li, G., Zhang, W., et al. (2021) · Advanced Intelligent Systems · doi:10.1002/aisy.202100054 · Cited by 14

Efficient use of random neural networks for cognitive radio system in LTE-UL

Adeel, A., Larijani, H., & Ahmadinia, A. (2014) · International Symposium on Wireless Communication Systems · doi:10.1109/iswcs.2014.6933389 · Cited by 7

Epilogue

Kirmayer, L. J., Worthman, C. M., & Kitayama, S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.028 · Cited by 8

Neurodiversity as a Conceptual Lens and Topic of Cross-Cultural Study

Cascio, M. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.027 · Cited by 7

Influence of topology on the critical behavior of hierarchical modular neuronal networks

Rusch, F. R., Kinouchi, O., & Roque, A. C. (2025) · Communications Physics · doi:10.1038/s42005-025-02074-5 · Cited by 6

Culture, Self, and Agency

Kirmayer, L. J., Gómez-Carrillo, A., Langlois‐Thérien, T., Ramstead, M. J. D., & Gold, I. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.012 · Cited by 6

Bio-Inspired Information Pathways

Ziegler, M., Mussenbrock, T., & Kohlstedt, H. (2023) · Springer series on bio- and neurosystems · doi:10.1007/978-3-031-36705-2 · Cited by 7

Comparing the Hierarchy of Keywords in On-Line News Portals

Tibély, G., Sousa-Rodrigues, D., Pollner, P., & Palla, G. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165728 · Cited by 6

Network Theory in Neuroscience

Papo, D., Buldú, J. M., & Boccaletti, S. (2014) · Springer eBooks · doi:10.1007/978-1-4614-7320-6_713-1 · Cited by 7

Cultural Priming Effects and the Human Brain

Han, S., & Northoff, G. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.011 · Cited by 5

Introduction

Kirmayer, L. J., Worthman, C. M., & Kitayama, S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.002 · Cited by 6

A Network Model of Hallucinations

Goekoop, R., & Looijestijn, J. (2011) · Springer eBooks · doi:10.1007/978-1-4614-0959-5_4 · Cited by 5

Parametric Construction of Episode Networks from Pseudoperiodic Time Series Based on Mutual Information

Emmert‐Streib, F. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027733 · Cited by 5

Ritual and Religion as Social Technologies of Cooperation

Kavanagh, C. M., Jong, J., & Whitehouse, H. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.016 · Cited by 7

The Cultural Brain as Historical Artifact

Boddice, R. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.018 · Cited by 6

Trophic analysis of a historical network reveals temporal information

Shuaib, C., Syed, M. U., Halawi, D., & Saquib, N. (2022) · Applied Network Science · doi:10.1007/s41109-022-00469-9 · Cited by 4

Emergence of Leader-Follower Hierarchy Among Players in an On-Line Experiment

Toth, B. J., Palla, G., Mones, E., Havadi, G., Páll, N., Pollner, P., & Vicsek, T. (2018) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1109/asonam.2018.8508278 · Cited by 4

The Reward of Musical Emotions and Expectations

Gold, B. P., & Zatorre, R. J. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.021 · Cited by 4

Text Classification via Learning Semantic Dependency and Association

Zhu, G., Tao, H., Wu, H., Chen, L., Liu, Y., Liu, Q., & Chen, E. (2022) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn55064.2022.9892656 · Cited by 4

Anomalous Lifshitz dimension in hierarchical networks of brain connectivity

Esfandiary, S., Safari, A., Renner, J., Moretti, P., & Muñoz, M. A. (2020) · Physical Review Research · doi:10.1103/physrevresearch.2.043291 · Cited by 4

The Role of Hierarchy in Learning to Categorize Images

Shahbazi, R., Field, D. J., & Edelman, S. (2011) · eScholarship (California Digital Library) · Cited by 3

Being There

Worthman, C. M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.007 · Cited by 3

Modeling hierarchy using symbolic regression

Icke, I., & Bongard, J. (2013) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2013.6557932 · Cited by 2

Estimation of inter-modular connectivity from the local field potentials in a hierarchical modular network

Xue-mei, C., Kim, W. S., Hwang, D., & Han, S. K. (2015) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/110/38001 · Cited by 2

Diffusion dynamics and synchronizability of hierarchical products of networks

Skardal, P. S. (2017) · Physical review. E · doi:10.1103/physreve.96.042302 · Cited by 2

Exact analytical solution of irreversible binary dynamics on networks

Laurence, E., Young, J.-G., Melnik, S., & Dubé, L. J. (2018) · Physical review. E · doi:10.1103/physreve.97.032302 · Cited by 2

Plastic Network Changes During Brain Disease

Aswendt, M., Green, C., & Hoehn, M. (2018) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-812028-6.00022-7 · Cited by 2

Capturing Context Is Not Enough

Lemelson, R., & Tucker, A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.023 · Cited by 2

doi: 10.3389/fninf.2010.00112 Hierarchy and dynamics of neural networks

Kaiser, M., Hilgetag, C. C., & Kötter, R. (2010)

Hierarchy and dynamics in neural networks

(2012) · Frontiers research topics · doi:10.3389/978-2-88919-010-2

STRUCTURAL, FUNCTIONAL AND DYNAMICAL HIERARCHIES IN NEURAL NETWORKS

Holden, A. V. (1991) · WORLD SCIENTIFIC eBooks · doi:10.1142/9789814503372_0009 · Cited by 1

Neuron Hierarchical Networks

Yue, H., Wu, D., Wu, L., & Xie, J. L. (2018)

Neuronal Networks

Rehub, A. T. (2012)