353 lines
12 KiB
BibTeX
353 lines
12 KiB
BibTeX
@book{barrat2008,
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title={Dynamical Processes on Complex Networks},
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author={Barrat, A. and Barth{\'e}lemy, M. and Vespignani, A.},
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isbn={9781107377424},
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url={https://books.google.pt/books?id=fUAhAwAAQBAJ},
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year={2008},
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publisher={Cambridge University Press}
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}
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@article{Varela2001,
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title={The brainweb: Phase synchronization and large-scale integration},
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author={Francisco J. Varela and Jean-Philippe Lachaux and Eugenio Rodriguez and Jacques Martinerie},
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journal={Nature Reviews Neuroscience},
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year={2001},
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volume={2},
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pages={229-239}
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}
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@article{Carmichael2002,
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title={Synchronous Neuronal Activity Is a Signal for Axonal Sprouting after Cortical Lesions in the Adult},
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author={S. Thomas Carmichael and M. -F. Chesselet},
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journal={The Journal of Neuroscience},
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year={2002},
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volume={22},
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pages={6062 - 6070}
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}
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@ARTICLE{Otsuka2000,
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author = {{Otsuka}, Kenju and {Kawai}, Ryoji and {Hwong}, Siao-Lung and {Ko}, Jing-Yuan and {Chern}, Jyh-Long},
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title = "{Synchronization of Mutually Coupled Self-Mixing Modulated Lasers}",
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journal = {Phys. Rev. Lett.},
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year = {2000},
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month = {apr},
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volume = {84},
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number = {14},
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pages = {3049-3052},
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doi = {10.1103/PhysRevLett.84.3049},
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adsurl = {https://ui.adsabs.harvard.edu/abs/2000PhRvL..84.3049O},
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adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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}
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@ARTICLE{Hansel1992,
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author = {{Hansel}, D. and {Sompolinsky}, H.},
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title = "{Synchronization and computation in a chaotic neural network}",
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journal = {Phys. Rev. Lett.},
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keywords = {87.10.+e, 05.45.+b, General theory and mathematical aspects},
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year = 1992,
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month = feb,
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volume = {68},
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number = {5},
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pages = {718-721},
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doi = {10.1103/PhysRevLett.68.718},
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adsurl = {https://ui.adsabs.harvard.edu/abs/1992PhRvL..68..718H},
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adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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}
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@ARTICLE{Glass2001,
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author = {{Glass}, Leon},
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title = "{Synchronization and rhythmic processes in physiology}",
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journal = {Nature},
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year = 2001,
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month = mar,
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volume = {410},
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number = {6825},
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pages = {277-284},
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doi = {10.1038/35065745},
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adsurl = {https://ui.adsabs.harvard.edu/abs/2001Natur.410..277G},
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adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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}
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@article{BIEBERICH2002145,
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title = {Recurrent fractal neural networks: a strategy for the exchange of local and global information processing in the brain},
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journal = {Biosystems},
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volume = {66},
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number = {3},
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pages = {145-164},
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year = {2002},
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issn = {0303-2647},
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doi = {https://doi.org/10.1016/S0303-2647(02)00040-0},
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url = {https://www.sciencedirect.com/science/article/pii/S0303264702000400},
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author = {Erhard Bieberich},
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keywords = {Networks, Fractal, Brain, Mind, Consciousness, Neuron},
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abstract = {The regulation of biological networks relies significantly on convergent feedback signaling loops that render a global output locally accessible. Ideally, the recurrent connectivity within these systems is self-organized by a time-dependent phase-locking mechanism. This study analyzes recurrent fractal neural networks (RFNNs), which utilize a self-similar or fractal branching structure of dendrites and downstream networks for phase-locking of reciprocal feedback loops: output from outer branch nodes of the network tree enters inner branch nodes of the dendritic tree in single neurons. This structural organization enables RFNNs to amplify re-entrant input by over-the-threshold signal summation from feedback loops with equivalent signal traveling times. The columnar organization of pyramidal neurons in the neocortical layers V and III is discussed as the structural substrate for this network architecture. RFNNs self-organize spike trains and render the entire neural network output accessible to the dendritic tree of each neuron within this network. As the result of a contraction mapping operation, the local dendritic input pattern contains a downscaled version of the network output coding structure. RFNNs perform robust, fractal data compression, thus coping with a limited number of feedback loops for signal transport in convergent neural networks. This property is discussed as a significant step toward the solution of a fundamental problem in neuroscience: how is neuronal computation in separate neurons and remote brain areas unified as an instance of experience in consciousness? RFNNs are promising candidates for engaging neural networks into a coherent activity and provide a strategy for the exchange of global and local information processing in the human brain, thereby ensuring the completeness of a transformation from neuronal computation into conscious experience.}
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}
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@incollection{Chalmers2000,
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title = {What is a Neural Correlate of Consciousness?},
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booktitle = {Neural Correlates of Consciousness},
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author = {David J. Chalmers},
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publisher = {MIT Press},
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year = {2000},
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editor = {Thomas Metzinger}
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}
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@inproceedings{Crick1990,
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title={Towards a neurobiological theory of consciousness},
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author={Crick, Francis and Koch, Christof},
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booktitle={Seminars in the Neurosciences (Vol.2)},
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year={1990},
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organization={Saunders Scientific Publications}
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}
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@article{Hidaka2018,
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doi = {10.1371/journal.pone.0201126},
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author = {Hidaka, Shohei AND Oizumi, Masafumi},
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journal = {PLOS ONE},
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publisher = {Public Library of Science},
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title = {Fast and exact search for the partition with minimal information loss},
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year = {2018},
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month = {09},
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volume = {13},
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url = {https://doi.org/10.1371/journal.pone.0201126},
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pages = {1-14},
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number = {9},
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}
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@Article{Mediano2019,
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AUTHOR = {Mediano, Pedro A.M. and Seth, Anil K. and Barrett, Adam B.},
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TITLE = {Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation},
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JOURNAL = {Entropy},
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VOLUME = {21},
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YEAR = {2019},
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NUMBER = {1},
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ARTICLE-NUMBER = {17},
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URL = {https://www.mdpi.com/1099-4300/21/1/17},
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ISSN = {1099-4300}
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}
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@incollection{ENGEL2016,
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title = {Chapter 3 - Neuronal Oscillations, Coherence, and Consciousness},
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editor = {Steven Laureys and Olivia Gosseries and Giulio Tononi},
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booktitle = {The Neurology of Conciousness (Second Edition)},
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publisher = {Academic Press},
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edition = {Second Edition},
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address = {San Diego},
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pages = {49-60},
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year = {2016},
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author = {Andreas K. Engel and Pascal Fries}}
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@article{FRIES2015,
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title = {Rhythms for Cognition: Communication through Coherence},
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journal = {Neuron},
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volume = {88},
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number = {1},
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pages = {220-235},
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year = {2015},
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author = {Pascal Fries}
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}
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@article{OIZUMI2014,
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author = {Oizumi, Masafumi AND Albantakis, Larissa AND Tononi, Giulio},
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journal = {PLOS Computational Biology},
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publisher = {Public Library of Science},
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title = {From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0},
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year = {2014},
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month = {05},
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volume = {10},
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pages = {1-25},
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number = {5}
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}
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@article{DOERIG2019,
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title = {The unfolding argument: Why IIT and other causal structure theories cannot explain consciousness},
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author = {Doerig, Adrien and Schurger, Aaron and Hess, Kathryn and Herzog, Michael H.},
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journal = {Consciousness and Cognition},
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volume = {72},
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year = {2019}
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}
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@book{BARRAT2008,
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title={Dynamical Processes on Complex Networks},
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author={Barrat, A. and Barth{\'e}lemy, M. and Vespignani, A.},
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year={2008},
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publisher={Cambridge University Press}
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}
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@article{Tononi2004,
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title={An information integration theory of consciousness},
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author={Giulio Tononi},
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journal={BMC Neuroscience},
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year={2004},
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volume={5},
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pages={42 - 42}
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}
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@article{Rezaei2020,
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author = {Rezaei, Hedyeh AND Aertsen, Ad AND Kumar, Arvind AND Valizadeh, Alireza},
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journal = {PLOS Computational Biology},
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publisher = {Public Library of Science},
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title = {Facilitating the propagation of spiking activity in feedforward networks by including feedback},
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year = {2020},
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month = {08},
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volume = {16},
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pages = {1-27},
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number = {8}
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}
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@book{BARRAT2008,
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title={Dynamical Processes on Complex Networks},
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author={Barrat, A. and Barth{\'e}lemy, M. and Vespignani, A.},
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year={2008},
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publisher={Cambridge University Press}
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}
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@ARTICLE{LLINAS2014,
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AUTHOR={Llinás, Rodolfo R.},
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TITLE={Intrinsic electrical properties of mammalian neurons and CNS function: a historical perspective},
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JOURNAL={Frontiers in Cellular Neuroscience},
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YEAR={2014}
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}
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@article{Mayner2018,
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author = {Mayner, William G. P. AND Marshall, William AND Albantakis, Larissa AND Findlay, Graham AND Marchman, Robert AND Tononi, Giulio},
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journal = {PLOS Computational Biology},
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publisher = {Public Library of Science},
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title = {PyPhi: A toolbox for integrated information theory},
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year = {2018},
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month = {07},
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volume = {14},
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pages = {1-21},
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number = {7}
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}
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@article{Hahn2014CommunicationTR,
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title={Communication through Resonance in Spiking Neuronal Networks},
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author={Gerald Hahn and Alejandro F. Bujan and Yves Fr{\'e}gnac and Ad Aertsen and Arvind Kumar},
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journal={PLoS Computational Biology},
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year={2014},
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volume={10}
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}
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@article{Fries2005AMF,
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title={A mechanism for cognitive dynamics: neuronal communication through neuronal coherence},
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author={Pascal Fries},
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journal={Trends in Cognitive Sciences},
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year={2005},
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volume={9},
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pages={474-480},
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url={}
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}
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@book{neuroscience6th,
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title = {Neuroscience},
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edition = {Sixth},
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editor = {Purves, Dale and Augustine, George J. and Fitzpatrick, David and Hall, William C. and LaMantia, Anthony-Samuel and Mooney, Richard D. and Platt, Michael L. and White, Leonard E.},
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year = {2017},
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publisher = {Sinauer Associates},
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address = {Sunderland, MA},
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isbn = {9781605353807},
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pages = {960},
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month = {October 12},
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}
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@article{Bennett2020AnAA,
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title={An Attempt at a Unified Theory of the Neocortical Microcircuit in Sensory Cortex},
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author={Max Bennett},
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journal={Frontiers in Neural Circuits},
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year={2020},
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volume={14},
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url={}
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}
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@article{vanKerkoerle2014AlphaAG,
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title={Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex},
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author={Timo van Kerkoerle and Matthew W. Self and Bruno Dagnino and Marie-Alice Gariel-Mathis and Jasper Poort and Chris van der Togt and Pieter R. Roelfsema},
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journal={Proceedings of the National Academy of Sciences},
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year={2014},
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volume={111},
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pages={14332 - 14341},
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url={}
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}
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@article {Westerberg2022,
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article_type = {journal},
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title = {Laminar microcircuitry of visual cortex producing attention-associated electric fields},
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author = {Westerberg, Jacob A and Schall, Michelle S and Maier, Alexander and Woodman, Geoffrey F and Schall, Jeffrey D},
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editor = {Ray, Supratim and Baker, Chris I and Luck, Steven J and Nandy, Anirvan S},
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volume = 11,
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year = 2022,
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month = {jan},
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pub_date = {2022-01-28},
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pages = {e72139},
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citation = {eLife 2022;11:e72139},
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doi = {10.7554/eLife.72139},
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url = {https://doi.org/10.7554/eLife.72139},
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keywords = {CSD, ECoG, EEG, LFP, N2pc, V4},
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journal = {eLife},
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issn = {2050-084X},
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publisher = {eLife Sciences Publications, Ltd},
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}
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@inproceedings{Presigny2021MultiscaleMO,
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title={Multiscale modeling of brain network organization},
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author={Charley Presigny and Fabrizio De Vico Fallani},
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year={2021},
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url={}
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}
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@article{Mejas2016FeedforwardAF,
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title={Feedforward and feedback frequency-dependent interactions in a large-scale laminar network of the primate cortex},
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author={Jorge F. Mej{\'i}as and John D. Murray and Henry Kennedy and Xiao-Jing Wang},
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journal={Science Advances},
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year={2016},
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volume={2},
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url={}
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}
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@article{Rezaei2019FacilitatingTP,
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title={Facilitating the propagation of spiking activity in feedforward networks by including feedback},
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author={Hedyeh Rezaei and Ad Aertsen and Alireza Valizadeh and Arvind Kumar},
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journal={PLoS Computational Biology},
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year={2019},
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volume={16},
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url={}
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}
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@article{Hahn2014CommunicationTR,
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title={Communication through Resonance in Spiking Neuronal Networks},
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author={Gerald Hahn and Alejandro F. Bujan and Yves Fr{\'e}gnac and Ad Aertsen and Arvind Kumar},
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journal={PLoS Computational Biology},
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year={2014},
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volume={10},
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url={}
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}
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@article{Jensen2014HumanBO,
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title={Human Brain Oscillations: From Physiological Mechanisms to Analysis and Cognition},
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author={Ole Jensen and Eelke Spaak and Johanna M. Zumer},
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journal={Magnetoencephalography},
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year={2014},
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url={}
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}
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@article{Lowet2015InputDependentFM,
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title={Input-Dependent Frequency Modulation of Cortical Gamma Oscillations Shapes Spatial Synchronization and Enables Phase Coding},
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author={Eric Lowet and M. Roberts and Avgis Hadjipapas and Alina Peter and Jan van der Eerden and Peter de Weerd},
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journal={PLoS Computational Biology},
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year={2015},
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volume={11},
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url={}
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} |