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Hierarchy and dynamics of neural networks
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“The HMM resonates with structural and functional imaging studies in network neuroscience, which show that the brain entails a multiscale hierarchical organisation characterised by the repeated encapsulation of smaller neural elements in larger ones ( [71,72]; Fig. 4, panel A).”
From Answering Schrödinger's question: A free-energy formulation (2018) · cites this paper as [71]
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“Since systems at criticality have optimal information-processing capacities, a structure that extends this critical region is likely to be naturally selected [76].”
From The depressed brain: an evolutionary systems theory (2017) · cites this paper as [76]
In the citing paper
“Since systems at criticality have optimal information-processing capacities, a structure that extends this critical region is likely to be naturally selected [76].”
From The depressed brain: an evolutionary systems theory (2017) · cites this paper as [76]
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“Notice that the probability to have 2 GCC is vanishingly small [18] and thus, with high probability”
From On the origins of hierarchy in complex networks (2013) · cites this paper as [18]
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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
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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
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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
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Metadata
- Authors
- Kaiser, M.
- Affiliations
- Newcastle University (GB)
- Corresponding author
- Kaiser, Marcus
- ORCID
- Kaiser, Marcus
- Venue
- Frontiers in Neuroinformatics
- Publisher
- Frontiers Media SA
- Published
- 2010
- Volume
- 4
- ISSN
- 1662-5196 (ISSN-L)
- PMC
- PMC2938979
- OpenAlex
- W2084790688
- Cited by
- 136
- References
- 25
- Citations by year
- 2025: 1 · 2024: 6 · 2023: 7 · 2022: 7 · 2021: 7 · 2020: 35 · 2019: 8 · 2018: 4 · 2017: 10 · 2016: 7 · 2015: 10 · 2014: 10 · 2013: 8 · 2012: 7
- FWCI
- 4.66
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Neuroinformatics (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- OpenBU (Boston University) (submittedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- artificial neural networks, hierarchy, dynamics, network dynamics
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