Relevant bibliographies by topics / Brain complexity

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Brain complexity'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Brain complexity"

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Martín-Landrove, Miguel, Francisco Torres-Hoyos, and Antonio Rueda-Toicen. "Complexity of brain tumors." Physica A: Statistical Mechanics and its Applications 537 (January 2020): 122696. http://dx.doi.org/10.1016/j.physa.2019.122696.

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Gao, Junfeng, Jian Song, Yong Yang, et al. "Deception Decreases Brain Complexity." IEEE Journal of Biomedical and Health Informatics 23, no. 1 (2019): 164–74. http://dx.doi.org/10.1109/jbhi.2018.2842104.

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Anokhin, Andrey P., Niels Birbaumer, Werner Lutzenberger, Andrey Nikolaev, and Friedrich Vogel. "Age increases brain complexity." Electroencephalography and Clinical Neurophysiology 99, no. 1 (1996): 63–68. http://dx.doi.org/10.1016/0921-884x(96)95573-3.

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Lerner, Alan J., and Andrew A. Pieper. "Neurotherapeutics of the Aging Brain: Complexity Meets Complexity." Neurotherapeutics 16, no. 3 (2019): 539–42. http://dx.doi.org/10.1007/s13311-019-00757-w.

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Bahrami, Bahador, Reza Seyedsadjadi, Baktash Babadi, and Maryam Noroozian. "Brain complexity increases in mania." NeuroReport 16, no. 2 (2005): 187–91. http://dx.doi.org/10.1097/00001756-200502080-00025.

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Shumway, Caroly A. "Habitat Complexity, Brain, and Behavior." Brain, Behavior and Evolution 72, no. 2 (2008): 123–34. http://dx.doi.org/10.1159/000151472.

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Goswami, Usha. "Reading, complexity and the brain." Literacy 42, no. 2 (2008): 67–74. http://dx.doi.org/10.1111/j.1741-4369.2008.00484.x.

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Pisarchik, Alexander, and Parth Chholak. "Endogenous brain noise and complexity." IBRO Reports 6 (September 2019): S65. http://dx.doi.org/10.1016/j.ibror.2019.07.214.

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Compston, A. "Complexity and heterogeneity in demyelinating disease." Brain 130, no. 5 (2007): 1178–80. http://dx.doi.org/10.1093/brain/awm092.

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Shumway, Caroly A. "The evolution of complex brains and behaviors in African cichlid fishes." Current Zoology 56, no. 1 (2010): 144–56. http://dx.doi.org/10.1093/czoolo/56.1.144.

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Abstract In this review, I explore the effects of both social organization and the physical environment, specifically habitat complexity, on the brains and behavior of highly visual African cichlid fishes, drawing on examples from primates and birds where appropriate. In closely related fishes from the monophyletic Ectodinii clade of Lake Tanganyika, both forces influence cichlid brains and behavior. Considering social influences first, visual acuity differs with respect to social organization (monogamy versus polygyny). Both the telencephalon and amygdalar homologue, area Dm, are larger in mo
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Dissertations / Theses on the topic "Brain complexity"

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Sokunbi, Moses Olufemi. "Functional MRI entropy measurements of brain complexity." Thesis, University of Aberdeen, 2011. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=182232.

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The analysis of complex systems has attracted great interest in recent years due to its potential application in medicine. Biological signals are decidedly nonlinear (Bertolaccini, Bussolati & Padovini 1978) and usually exhibit complex behaviour with nonlinear dynamic properties. Examples of these signals are electroencephalogram (EEG) signals, which measure the electrical activity of the brain and the blood oxygen level dependent (BOLD) signal of the brain from functional magnetic resonance imaging (fMRI) acquisition. The changes and differences in the signals produced by biological or physio
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Bonmatí, Coll Ester. "Study of brain complexity using information theory tools." Doctoral thesis, Universitat de Girona, 2016. http://hdl.handle.net/10803/404384.

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The human brain is a complex network that shares and processes information by using the structural paths between areas in order to perform a function. The connectome models the brain as a graph where nodes correspond to brain regions and edges to structural or functional connections. In this thesis, we investigate and provide new methods to study the brain complexity and improve the understanding of the brain functioning by using information theory. Firstly, we focus on brain parcellation, which is a key step to perform brain studies since determines the regions to be analyzed. Secondly, we f
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Kirkness, Catherine Jean. "Complexity as an indicator of cerebrovascular adaptive capacity in individuals with acute brain injury /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/7218.

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Warren, Tessa Cartwright 1974. "Understanding the role of referential processing in sentence complexity." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8187.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2001.<br>Includes bibliographical references (p. 123-128).<br>Language comprehension requires syntactic, semantic and pragmatic processing. The work presented in this thesis clarifies the role that the resource demands of syntactic and referential processing play in sentence complexity. Results are interpreted within the framework of the Dependency Locality Theory (Gibson, 1998), which provides a hypothesis about how computational resources constrain the process of sentence comprehension. These new r
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Kamhi, J. Frances, Wulfila Gronenberg, Simon K. A. Robson, and James F. A. Traniello. "Social complexity influences brain investment and neural operation costs in ants." ROYAL SOC, 2016. http://hdl.handle.net/10150/621590.

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The metabolic expense of producing and operating neural tissue required for adaptive behaviour is considered a significant selective force in brain evolution. In primates, brain size correlates positively with group size, presumably owing to the greater cognitive demands of complex social relationships in large societies. Social complexity in eusocial insects is also associated with large groups, as well as collective intelligence and division of labour among sterile workers. However, superorganism phenotypes may lower cognitive demands on behaviourally specialized workers resulting in selecti
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Moukarzel, Sara. "The complexity of understanding human milk components and infant brain development." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/57297.

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Understanding which and how human milk components contribute to infant brain development is complicated in part by their large diversity, complex arrangement in the milk matrix and potential interaction in metabolism. This research addressed the importance of studying the composition of minor milk lipids and of exploring their relationship with non-lipid milk components in infant brain development. More specifically, the milk fat globule membrane (MFGM), a complex tri-layer of cholesterol, glycoproteins, and polar lipids including ethanolamine plasmalogens (Pls-PE), naturally emulsifies milk t
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Li, Xiaojing. "Relating brain signal complexity, cognitive performance and APOE polymorphisms : the case of young healthy human adults." HKBU Institutional Repository, 2019. https://repository.hkbu.edu.hk/etd_oa/670.

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Human brain is a complex dynamical system, whose complexity could be highly functional and characterize cognitive abilities or mental disorders. The APOE ɛ4 allele is a well-known genetic risk factor for the development of Alzheimer's Disease and cognitive decline in later human life. However, there are no robust conclusions about the APOE genotype-phenotype association among young healthy adults. The main goal of this study is to investigate the bridges between brain signal complexity, APOE genotype and cognitive performance among young adults under the framework of individual difference. Bef
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Shi, Lei. "Molecular Mechanisms of Neurite Complexity in the Drosophila Brain: A Dissertation." eScholarship@UMMS, 2010. https://escholarship.umassmed.edu/gsbs_diss/474.

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Development of functional neural circuits involves a series of complicated steps, including neurogenesis and neuronal morphogenesis. To understand the molecular mechasnims of neurite complexity, especially neurite branching/arborization, the Drosophila brain, especially MBNs (mushroom body neurons) and PNs (projection neurons) in olfactory circuitry, was used in this dissertation work as the model system to study how two molecules, Dscam and Kr-h1 affect neurite complexity in the Drosophilabrain. For the Drosophila Dscam, through alternative splicing it could encode up to 152,064 distinct immu
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Expert, Paul. "An Odyssey with complexity and network science : from the brain to social organisation." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/9755.

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Complexity science is the study of systems that give rise to a priori unexpected macroscopic patterns, at different scales, emerging from the simple microscopic rules governing the evolution of the system. Method to explore complex systems are based on tools from a wide range of sciences, including statistical mechanics. Recently, the study of the emerging properties of complex systems has been enriched by a new toolbox derived by an extension of graph theory, namely, complex network science. We use both approaches to investigate two complex systems, the human brain and the communications patt
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De, Villiers Tanya. "Complexity and the self." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/52744.

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Thesis (MA)--University of Stellenbosch, 2002.<br>ENGLISH ABSTRACT: In this thesis it is argued that the age-old philosophical "Problem of the Self' can benefit by being approached from the perspective of a relatively recent science, namely that of Complexity Theory. With this in mind the conceptual features of this theory is highlighted and summarised. Furthermore, the argument is made that the predominantly dualistic approach to the self that is characteristic of the Western Philosophical tradition serves to hinder, rather than edify, our understanding of the phenomenon. The benefits
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Books on the topic "Brain complexity"

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Orsucci, Franco. Neuroscience in the age of complexity. Nova Science, 2010.

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Orsucci, Franco. Neuroscience in the age of complexity. Nova Biomedical, 2011.

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The brain from 25,000 feet: High level explorations of brain complexity, perception, induction, and vagueness. Kluwer Academic Publishers, 2003.

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Changizi, Mark A. The brain from 25,000 feet: High level explorations of brain complexity, perception, induction, and vagueness. Kluwer Academic Publishers, 2003.

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Radiance of being: Complexity, chaos and the evolution of consciousness. Floris, 1995.

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Combs, Allan. The radiance of being: Complexity, chaos, and the evolution of consciousness. Paragon House, 1996.

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Zanzotto, Fabio Massimo. Brain Informatics: International Conference, BI 2012, Macau, China, December 4-7, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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Tianming, Liu, Shen Dinggang, Westin Carl-Fredrik, Shen Li, and SpringerLink (Online service), eds. Multimodal Brain Image Analysis: Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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Hofstadter, Douglas R. Gödel, Escher, Bach: An eternal golden braid. 2nd ed. Penguin, 2000.

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Hofstadter, Douglas R. Gödel, Escher, Bach: An eternal golden braid. 2nd ed. Basic Books, 1999.

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Book chapters on the topic "Brain complexity"

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Friederici, Angela D., and Jens Brauer. "Syntactic complexity in the brain." In Syntactic Complexity. John Benjamins Publishing Company, 2009. http://dx.doi.org/10.1075/tsl.85.18syn.

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Sanayei, Ali, and Otto E. Rössler. "The Brain Equation." In Emergence, Complexity and Computation. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06781-0_15.

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Rössler, Otto E. "The Brain Equation." In Emergence, Complexity and Computation. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45438-7_5.

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Plebe, Alessio, and Vivian M. De La Cruz. "Language and Brain Complexity." In Lecture Notes in Morphogenesis. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29483-4_10.

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Tass, Peter A., Oleksandr V. Popovych, and Christian Hauptmann. "Brain Pacemaker." In Encyclopedia of Complexity and Systems Science. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_42.

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Tass, Peter A., Christian Hauptmann, and Oleksandr V. Popovych. "Brain Pacemaker." In Encyclopedia of Complexity and Systems Science. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-642-27737-5_42-2.

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Mainzer, Klaus. "Complex Systems and the Evolution of Mind-Brain." In Thinking in Complexity. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-13214-2_4.

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Mainzer, Klaus. "Complex Systems and the Evolution of Mind-Brain." In Thinking in Complexity. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03305-0_4.

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Mainzer, Klaus. "Complex Systems and the Evolution of Mind-Brain." In Thinking in Complexity. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-03014-1_4.

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Tsuda, Ichiro. "On the Complexity of Logic-Dynamics in Brain." In Complexity and Diversity. Springer Japan, 1997. http://dx.doi.org/10.1007/978-4-431-66862-6_4.

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Conference papers on the topic "Brain complexity"

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de Arcangelis, L., H. J. Herrmann, C. Perrone-Capano, et al. "Neuronal avalanches and brain plasticity." In COMPLEXITY, METASTABILITY, AND NONEXTENSIVITY: An International Conference. AIP, 2007. http://dx.doi.org/10.1063/1.2828739.

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Voss, Trevor R. C., Annie R. Bice, Jin-Moo Lee, and Adam Q. Bauer. "Anesthesia affects forepaw motor output and movement complexity during light-based motor mapping." In Optics and the Brain. OSA, 2019. http://dx.doi.org/10.1364/brain.2019.bm2a.5.

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Tagliazucchi, E., and D. R. Chialvo. "Brain complexity born out of criticality." In PHYSICS, COMPUTATION, AND THE MIND - ADVANCES AND CHALLENGES AT INTERFACES: Proceedings of the 12th Granada Seminar on Computational and Statistical Physics. AIP, 2013. http://dx.doi.org/10.1063/1.4776495.

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Spanellis, Christina, Brooke Stewart, and Geoff Nitschke. "The Environment and Body-Brain Complexity." In GECCO '21: Genetic and Evolutionary Computation Conference. ACM, 2021. http://dx.doi.org/10.1145/3449639.3459270.

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Fernández, J. G., H. A. Larrondo, A. Figliola, et al. "Brain Maturation Changes Characterized by Algorithmic Complexity (Lempel and Ziv Complexity)." In NONEQUILIBRIUM STATISTICAL MECHANICS AND NONLINEAR PHYSICS: XV Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics. AIP, 2007. http://dx.doi.org/10.1063/1.2746747.

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Mekler, Alexey, Ekaterina Stankova, and Vasiliy Shmyrov. "SYSTEMIC BRAIN PROCESSES AND COGNITIVE TASK COMPLEXITY." In XVI International interdisciplinary congress "Neuroscience for Medicine and Psychology". LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1152.sudak.ns2020-16/321-322.

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Valenza, G., A. Duggento, L. Passamonti, et al. "Resting-state brain correlates of cardiovascular complexity." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8037566.

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Haro, Gloria, Christophe Lenglet, Guillermo Sapiro, and Paul Thompson. "On the non-uniform complexity of brain connectivity." In 2008 5th IEEE International Symposium on Biomedical Imaging (ISBI 2008). IEEE, 2008. http://dx.doi.org/10.1109/isbi.2008.4541139.

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Chen, Xiaobi, Guanghua Xu, and Min Li. "Multi-scale Lempel-Ziv complexity analysis of brain states." In 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE, 2016. http://dx.doi.org/10.1109/urai.2016.7734023.

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Maldonato, Nelson Mauro, Benedetta Muzii, Donatella Di Corrado, et al. "The spontaneous order of creativity Brain, complexity and evolution." In 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2019. http://dx.doi.org/10.1109/coginfocom47531.2019.9089955.

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Reports on the topic "Brain complexity"

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‘Resilience – a complexity science approach’ Professor Anne-Laura Van Harmelen – ‘In Conversation’. ACAMH, 2020. http://dx.doi.org/10.13056/acamh.13350.

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