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Connectivity and complexity: the relationship between neuroanatomy and brain dynamics
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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
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
Tononi, G., Sporns, O., & Edelman, G. M. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.11.5033 · Cited by 1,626
Self-citationDing, M., Bressler, S. L., Yang, W., & Liang, H. (2000) · Biological Cybernetics · doi:10.1007/s004229900137 · Cited by 582
Episodic multiregional cortical coherence at multiple frequencies during visual task performance
Bressler, S. L., Coppola, R., & Nakamura, R. (1993) · Nature · doi:10.1038/366153a0 · Cited by 533
Functional clustering: identifying strongly interactive brain regions in neuroimaging data
Tononi, G., McIntosh, A. R., Russell, D. P., & Edelman, G. M. (1998) · NeuroImage · doi:10.1006/nimg.1997.0313 · Cited by 283
Self-citationA complexity measure for selective matching of signals by the brain.
Tononi, G., Sporns, O., & Edelman, G. M. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.8.3422 · Cited by 191
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Cited by
Complex networks: structure and dynamics
BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010
Multi-task connectivity reveals flexible hubs for adaptive task control
Cole, M. W., Reynolds, J. R., Power, J. D., Repovs, G., Anticevic, A., & Braver, T. S. (2013) · Nature Neuroscience · doi:10.1038/nn.3470 · Cited by 1,704
Efficiency of Functional Brain Networks and Intellectual Performance
van den Heuvel, M. P., Stam, C. J., Kahn, R. S., & Hulshoff Pol, H. E. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1443-09.2009 · Cited by 1,078
Castellanos, F. X., Margulies, D. S., Kelly, C., Uddin, L. Q., Ghaffari, M., Kirsch, A., Shaw, D., Shehzad, Z., Di Martino, A., Biswal, B., et al. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.06.025 · Cited by 854
Graph analysis of the human connectome: Promise, progress, and pitfalls
Fornito, A., Zalesky, A., & Breakspear, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.087 · Cited by 743
Brain hyperconnectivity in children with autism and its links to social deficits
Supekar, K., Uddin, L. Q., Khouzam, A., Phillips, J., Gaillard, W. D., Kenworthy, L. E., Yerys, B. E., Vaidya, C. J., & Menon, V. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.10.001 · Cited by 538
Isomura, Y., Sirota, A., Özen, S., Montgomery, S., Mizuseki, K., Henze, D. A., & Buzsáki, G. (2006) · Neuron · doi:10.1016/j.neuron.2006.10.023 · Cited by 500
Cabral, J., Vidaurre, D., Marques, P., Magalhães, R., Silva Moreira, P., Miguel Soares, J., Deco, G., Sousa, N., & Kringelbach, M. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-05425-7 · Cited by 386
Network neuroscience theory of human intelligence
Barbey, A. K. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.10.001 · Cited by 355
An Evolutionarily Informed Education Science
GEARY, D. C. (2008) · Educational Psychologist · doi:10.1080/00461520802392133 · Cited by 324
The implications of brain connectivity in the neuropsychology of autism
Maximo, J. O., Cadena, E. J., & Kana, R. K. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9250-0 · Cited by 259
Atypically diffuse functional connectivity between caudate nuclei and cerebral cortex in autism
Turner, K. C., Frost, L., Linsenbardt, D., McIlroy, J. R., & Müller, R.-A. (2006) · Behavioral and Brain Functions · doi:10.1186/1744-9081-2-34 · Cited by 207
Genç, E., Fraenz, C., Schlüter, C., Friedrich, P., Hossiep, R., Voelkle, M. C., Ling, J. M., Güntürkün, O., & Jung, R. E. (2018) · Nature Communications · doi:10.1038/s41467-018-04268-8 · Cited by 167
O’Donoghue, S., Holleran, L., Cannon, D. M., & McDonald, C. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.11.015 · Cited by 109
Evolution and Children’s Cognitive and Academic Development
Geary, D. C., & Berch, D. B. (2016) · Evolutionary Psychology · doi:10.1007/978-3-319-29986-0_9 · Cited by 101
Consciousness, biology and quantum hypotheses
Baars, B. J., & Edelman, D. B. (2012) · Physics of Life Reviews · doi:10.1016/j.plrev.2012.07.001 · Cited by 92
What caused what? A quantitative account of actual causation using dynamical causal networks
Albantakis, L., Marshall, W., Hoel, E., & Tononi, G. (2019) · Entropy · doi:10.3390/e21050459 · Cited by 67
Self-citationneuroVIISAS: Approaching Multiscale Simulation of the Rat Connectome
Schmitt, O., & Eipert, P. (2012) · Neuroinformatics · doi:10.1007/s12021-012-9141-6 · Cited by 51
Brain rhythms reveal a hierarchical network organization.
Steinke, G. K., & Galán, R. F. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002207 · Cited by 42
The multiple, interacting levels of cognitive systems (MILCS) perspective on group cognition
Goldstone, R. L., & Theiner, G. (2017) · Philosophical Psychology · doi:10.1080/09515089.2017.1295635 · Cited by 31
Degeneracy in the nervous system: From neuronal excitability to neural coding
Kamaleddin, M. A. (2022) · BioEssays · doi:10.1002/bies.202100148 · Cited by 24
Metadata
- Authors
- Sporns, O., Tononi, G., & Edelman, G. M.
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 2000-11
- Volume
- 13
- Issue
- 8-9
- Pages
- 909-922
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W2086523769
- Cited by
- 541
- References
- 7
- FWCI
- 4.40
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.