neuropercolation/evaluation/updated_bib_file.bib

@book{barrat2008,
	title={Dynamical Processes on Complex Networks},
	author={Barrat, A. and Barth{\'e}lemy, M. and Vespignani, A.},
	isbn={9781107377424},
	url={https://books.google.pt/books?id=fUAhAwAAQBAJ},
	year={2008},
	publisher={Cambridge University Press}
}

@article{Varela2001,
	title={The brainweb: Phase synchronization and large-scale integration},
	author={Francisco J. Varela and Jean-Philippe Lachaux and Eugenio Rodriguez and Jacques Martinerie},
	journal={Nature Reviews Neuroscience},
	year={2001},
	volume={2},
	pages={229-239}
}

@article{Carmichael2002,
	title={Synchronous Neuronal Activity Is a Signal for Axonal Sprouting after Cortical Lesions in the Adult},
	author={S. Thomas Carmichael and M. -F. Chesselet},
	journal={The Journal of Neuroscience},
	year={2002},
	volume={22},
	pages={6062 - 6070}
}

@ARTICLE{Otsuka2000,
	author = {{Otsuka}, Kenju and {Kawai}, Ryoji and {Hwong}, Siao-Lung and {Ko}, Jing-Yuan and {Chern}, Jyh-Long},
	title = "{Synchronization of Mutually Coupled Self-Mixing Modulated Lasers}",
	journal = {Phys. Rev. Lett.},
	year = {2000},
	month = {apr},
	volume = {84},
	number = {14},
	pages = {3049-3052},
	doi = {10.1103/PhysRevLett.84.3049},
	adsurl = {https://ui.adsabs.harvard.edu/abs/2000PhRvL..84.3049O},
	adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@ARTICLE{Hansel1992,
	author = {{Hansel}, D. and {Sompolinsky}, H.},
	title = "{Synchronization and computation in a chaotic neural network}",
	journal = {Phys. Rev. Lett.},
	keywords = {87.10.+e, 05.45.+b, General theory and mathematical aspects},
	year = 1992,
	month = feb,
	volume = {68},
	number = {5},
	pages = {718-721},
	doi = {10.1103/PhysRevLett.68.718},
	adsurl = {https://ui.adsabs.harvard.edu/abs/1992PhRvL..68..718H},
	adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@ARTICLE{Glass2001,
	author = {{Glass}, Leon},
	title = "{Synchronization and rhythmic processes in physiology}",
	journal = {Nature},
	year = 2001,
	month = mar,
	volume = {410},
	number = {6825},
	pages = {277-284},
	doi = {10.1038/35065745},
	adsurl = {https://ui.adsabs.harvard.edu/abs/2001Natur.410..277G},
	adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{BIEBERICH2002145,
	title = {Recurrent fractal neural networks: a strategy for the exchange of local and global information processing in the brain},
	journal = {Biosystems},
	volume = {66},
	number = {3},
	pages = {145-164},
	year = {2002},
	issn = {0303-2647},
	doi = {https://doi.org/10.1016/S0303-2647(02)00040-0},
	url = {https://www.sciencedirect.com/science/article/pii/S0303264702000400},
	author = {Erhard Bieberich},
	keywords = {Networks, Fractal, Brain, Mind, Consciousness, Neuron},
	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.}
}


@incollection{Chalmers2000,
	title = {What is a Neural Correlate of Consciousness?},
	booktitle = {Neural Correlates of Consciousness},
	author = {David J. Chalmers},
	publisher = {MIT Press},
	year = {2000},
	editor = {Thomas Metzinger}
}

@inproceedings{Crick1990,
	title={Towards a neurobiological theory of consciousness},
	author={Crick, Francis and Koch, Christof},
	booktitle={Seminars in the Neurosciences (Vol.2)},
	year={1990},
	organization={Saunders Scientific Publications}
}


@article{Hidaka2018,
	doi = {10.1371/journal.pone.0201126},
	author = {Hidaka, Shohei AND Oizumi, Masafumi},
	journal = {PLOS ONE},
	publisher = {Public Library of Science},
	title = {Fast and exact search for the partition with minimal information loss},
	year = {2018},
	month = {09},
	volume = {13},
	url = {https://doi.org/10.1371/journal.pone.0201126},
	pages = {1-14},
	number = {9},
	
}

@Article{Mediano2019,
	AUTHOR = {Mediano, Pedro A.M. and Seth, Anil K. and Barrett, Adam B.},
	TITLE = {Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation},
	JOURNAL = {Entropy},
	VOLUME = {21},
	YEAR = {2019},
	NUMBER = {1},
	ARTICLE-NUMBER = {17},
	URL = {https://www.mdpi.com/1099-4300/21/1/17},
	ISSN = {1099-4300}
}

@incollection{ENGEL2016,
	title = {Chapter 3 - Neuronal Oscillations, Coherence, and Consciousness},
	editor = {Steven Laureys and Olivia Gosseries and Giulio Tononi},
	booktitle = {The Neurology of Conciousness (Second Edition)},
	publisher = {Academic Press},
	edition = {Second Edition},
	address = {San Diego},
	pages = {49-60},
	year = {2016},
	author = {Andreas K. Engel and Pascal Fries}}


@article{FRIES2015,
	title = {Rhythms for Cognition: Communication through Coherence},
	journal = {Neuron},
	volume = {88},
	number = {1},
	pages = {220-235},
	year = {2015},
	author = {Pascal Fries}
}


@article{OIZUMI2014,
	author = {Oizumi, Masafumi AND Albantakis, Larissa AND Tononi, Giulio},
	journal = {PLOS Computational Biology},
	publisher = {Public Library of Science},
	title = {From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0},
	year = {2014},
	month = {05},
	volume = {10},
	pages = {1-25},
	number = {5}
}

@article{DOERIG2019,
	title = {The unfolding argument: Why IIT and other causal structure theories cannot explain consciousness},
	author = {Doerig, Adrien and Schurger, Aaron and Hess, Kathryn and Herzog, Michael H.},
	journal = {Consciousness and Cognition},
	volume = {72},
	year = {2019}
}

@book{BARRAT2008,
	title={Dynamical Processes on Complex Networks},
	author={Barrat, A. and Barth{\'e}lemy, M. and Vespignani, A.},
	year={2008},
	publisher={Cambridge University Press}
}



@article{Tononi2004,
	title={An information integration theory of consciousness},
	author={Giulio Tononi},
	journal={BMC Neuroscience},
	year={2004},
	volume={5},
	pages={42 - 42}
}

@article{Rezaei2020,
	author = {Rezaei, Hedyeh AND Aertsen, Ad AND Kumar, Arvind AND Valizadeh, Alireza},
	journal = {PLOS Computational Biology},
	publisher = {Public Library of Science},
	title = {Facilitating the propagation of spiking activity in feedforward networks by including feedback},
	year = {2020},
	month = {08},
	volume = {16},
	pages = {1-27},
	number = {8}	
}


@book{BARRAT2008,
	title={Dynamical Processes on Complex Networks},
	author={Barrat, A. and Barth{\'e}lemy, M. and Vespignani, A.},
	year={2008},
	publisher={Cambridge University Press}
}


@ARTICLE{LLINAS2014,
	
	AUTHOR={Llinás, Rodolfo R.},   
	
	TITLE={Intrinsic electrical properties of mammalian neurons and CNS function: a historical perspective},      
	
	JOURNAL={Frontiers in Cellular Neuroscience},     
	
	YEAR={2014}
}

@article{Mayner2018,
	author = {Mayner, William G. P. AND Marshall, William AND Albantakis, Larissa AND Findlay, Graham AND Marchman, Robert AND Tononi, Giulio},
	journal = {PLOS Computational Biology},
	publisher = {Public Library of Science},
	title = {PyPhi: A toolbox for integrated information theory},
	year = {2018},
	month = {07},
	volume = {14},
	pages = {1-21},
	number = {7}	
}

@article{Hahn2014CommunicationTR,
	title={Communication through Resonance in Spiking Neuronal Networks},
	author={Gerald Hahn and Alejandro F. Bujan and Yves Fr{\'e}gnac and Ad Aertsen and Arvind Kumar},
	journal={PLoS Computational Biology},
	year={2014},
	volume={10}
}
 
@article{Fries2005AMF,
	title={A mechanism for cognitive dynamics: neuronal communication through neuronal coherence},
	author={Pascal Fries},
	journal={Trends in Cognitive Sciences},
	year={2005},
	volume={9},
	pages={474-480},
	url={}
}

@book{neuroscience6th,
	title = {Neuroscience},
	edition = {Sixth},
	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.},
	year = {2017},
	publisher = {Sinauer Associates},
	address = {Sunderland, MA},
	isbn = {9781605353807},
	pages = {960},
	month = {October 12},
}

@article{Bennett2020AnAA,
	title={An Attempt at a Unified Theory of the Neocortical Microcircuit in Sensory Cortex},
	author={Max Bennett},
	journal={Frontiers in Neural Circuits},
	year={2020},
	volume={14},
	url={}
}

@article{vanKerkoerle2014AlphaAG,
	title={Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex},
	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},
	journal={Proceedings of the National Academy of Sciences},
	year={2014},
	volume={111},
	pages={14332 - 14341},
	url={}
}

@article {Westerberg2022,
	article_type = {journal},
	title = {Laminar microcircuitry of visual cortex producing attention-associated electric fields},
	author = {Westerberg, Jacob A and Schall, Michelle S and Maier, Alexander and Woodman, Geoffrey F and Schall, Jeffrey D},
	editor = {Ray, Supratim and Baker, Chris I and Luck, Steven J and Nandy, Anirvan S},
	volume = 11,
	year = 2022,
	month = {jan},
	pub_date = {2022-01-28},
	pages = {e72139},
	citation = {eLife 2022;11:e72139},
	doi = {10.7554/eLife.72139},
	url = {https://doi.org/10.7554/eLife.72139},
	keywords = {CSD, ECoG, EEG, LFP, N2pc, V4},
	journal = {eLife},
	issn = {2050-084X},
	publisher = {eLife Sciences Publications, Ltd},
}
@inproceedings{Presigny2021MultiscaleMO,
	title={Multiscale modeling of brain network organization},
	author={Charley Presigny and Fabrizio De Vico Fallani},
	year={2021},
	url={}
}

@article{Mejas2016FeedforwardAF,
	title={Feedforward and feedback frequency-dependent interactions in a large-scale laminar network of the primate cortex},
	author={Jorge F. Mej{\'i}as and John D. Murray and Henry Kennedy and Xiao-Jing Wang},
	journal={Science Advances},
	year={2016},
	volume={2},
	url={}
}

@article{Rezaei2019FacilitatingTP,
	title={Facilitating the propagation of spiking activity in feedforward networks by including feedback},
	author={Hedyeh Rezaei and Ad Aertsen and Alireza Valizadeh and Arvind Kumar},
	journal={PLoS Computational Biology},
	year={2019},
	volume={16},
	url={}
}

@article{Hahn2014CommunicationTR,
	title={Communication through Resonance in Spiking Neuronal Networks},
	author={Gerald Hahn and Alejandro F. Bujan and Yves Fr{\'e}gnac and Ad Aertsen and Arvind Kumar},
	journal={PLoS Computational Biology},
	year={2014},
	volume={10},
	url={}
}

@article{Jensen2014HumanBO,
	title={Human Brain Oscillations: From Physiological Mechanisms to Analysis and Cognition},
	author={Ole Jensen and Eelke Spaak and Johanna M. Zumer},
	journal={Magnetoencephalography},
	year={2014},
	url={}
}

@article{Lowet2015InputDependentFM,
	title={Input-Dependent Frequency Modulation of Cortical Gamma Oscillations Shapes Spatial Synchronization and Enables Phase Coding},
	author={Eric Lowet and M. Roberts and Avgis Hadjipapas and Alina Peter and Jan van der Eerden and Peter de Weerd},
	journal={PLoS Computational Biology},
	year={2015},
	volume={11},
	url={}
}