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Relevant bibliographies by topics / Brain evolution

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Academic literature on the topic 'Brain evolution'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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Journal articles on the topic "Brain evolution"

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Bach-y-Rita, Paul, and Gaetano L. Aiello. "Brain energetics and evolution." Behavioral and Brain Sciences 24, no. 2 (2001): 280–81. http://dx.doi.org/10.1017/s0140525x01243957.

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The human brain does not use more energy than the smaller brains of animals of comparable corporal weight. Uniquely, human functions localized largely in parts of the human brain that show greatest size increase over other animals may be mediated primarily by nonsynaptic neurotransmission, with reduced energy cost per kilogram of brain. This may affect the energetic constraints on evolution.

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Eckhardt, R. B. "Hominid brain evolution: Two conceptions of science." Anthropologischer Anzeiger 49, no. 4 (1991): 289–302. http://dx.doi.org/10.1127/anthranz/49/1991/289.

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Farris, Sarah M. "Evolution of brain elaboration." Philosophical Transactions of the Royal Society B: Biological Sciences 370, no. 1684 (2015): 20150054. http://dx.doi.org/10.1098/rstb.2015.0054.

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Large, complex brains have evolved independently in several lineages of protostomes and deuterostomes. Sensory centres in the brain increase in size and complexity in proportion to the importance of a particular sensory modality, yet often share circuit architecture because of constraints in processing sensory inputs. The selective pressures driving enlargement of higher, integrative brain centres has been more difficult to determine, and may differ across taxa. The capacity for flexible, innovative behaviours, including learning and memory and other cognitive abilities, is commonly observed i

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Striedter, Georg F. "Précis of Principles of Brain Evolution." Behavioral and Brain Sciences 29, no. 1 (2006): 1–12. http://dx.doi.org/10.1017/s0140525x06009010.

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Brain evolution is a complex weave of species similarities and differences, bound by diverse rules and principles. This book is a detailed examination of these principles, using data from a wide array of vertebrates but minimizing technical details and terminology. It is written for advanced undergraduates, graduate students, and more senior scientists who already know something about “the brain,” but want a deeper understanding of how diverse brains evolved. The book's central theme is that evolutionary changes in absolute brain size tend to correlate with many other aspects of brain structur

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Godwin, Dwayne, and Jorge Cham. "Brain Evolution." Scientific American Mind 25, no. 4 (2014): 76. http://dx.doi.org/10.1038/scientificamericanmind0714-76.

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Swain, James E. "Brain design: The evolution of brains." Behavioral and Brain Sciences 29, no. 1 (2006): 24–25. http://dx.doi.org/10.1017/s0140525x06349011.

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After reviewing historical aspects of brain evolution, this accessible book provides an enjoyable overview of several general principles of brain evolution, culminating in discussions of mammalian and human brains and a framework for future research.

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Dunbar, R. I. M., and Susanne Shultz. "Understanding primate brain evolution." Philosophical Transactions of the Royal Society B: Biological Sciences 362, no. 1480 (2007): 649–58. http://dx.doi.org/10.1098/rstb.2006.2001.

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We present a detailed reanalysis of the comparative brain data for primates, and develop a model using path analysis that seeks to present the coevolution of primate brain (neocortex) and sociality within a broader ecological and life-history framework. We show that body size, basal metabolic rate and life history act as constraints on brain evolution and through this influence the coevolution of neocortex size and group size. However, they do not determine either of these variables, which appear to be locked in a tight coevolutionary system. We show that, within primates, this relationship is

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Finlay, Barbara L., Richard B. Darlington, and Nicholas Nicastro. "Developmental structure in brain evolution." Behavioral and Brain Sciences 24, no. 2 (2001): 263–78. http://dx.doi.org/10.1017/s0140525x01003958.

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How does evolution grow bigger brains? It has been widely assumed that growth of individual structures and functional systems in response to niche-specific cognitive challenges is the most plausible mechanism for brain expansion in mammals. Comparison of multiple regressions on allometric data for 131 mammalian species, however, suggests that for 9 of 11 brain structures taxonomic and body size factors are less important than covariance of these major structures with each other. Which structure grows biggest is largely predicted by a conserved order of neurogenesis that can be derived from the

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Smulders, Tom V. "The relevance of brain evolution for the biomedical sciences." Biology Letters 5, no. 1 (2008): 138–40. http://dx.doi.org/10.1098/rsbl.2008.0521.

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Most biomedical neuroscientists realize the importance of the study of brain evolution to help them understand the differences and similarities between their animal model of choice and the human brains in which they are ultimately interested. Many think of evolution as a linear process, going from simpler brains, as those of rats, to more complex ones, as those of humans. However, in reality, every extant species' brain has undergone as long a period of evolution as has the human brain, and each brain has its own species-specific adaptations. By understanding the variety of existing brain type

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Jiang, Ying, Jia Yu Wang, Xiao Fu Huang, Chun Lan Mai, and Wen Bo Liao. "Brain size evolution in small mammals: test of the expensive tissue hypothesis." Mammalia 85, no. 5 (2021): 455–61. http://dx.doi.org/10.1515/mammalia-2019-0134.

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Abstract Brain size exhibits significant changes within and between species. Evolution of large brains can be explained by the need to improve cognitive ability for processing more information in changing environments. However, brains are among the most energetically expensive organs. Enlarged brains can impose energetic demands that limit brain size evolution. The expensive tissue hypothesis (ETH) states that a decrease in the size of another expensive tissue, such as the gut, should compensate for the cost of a large brain. We studied the interplay between energetic limitations and brain siz

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Dissertations / Theses on the topic "Brain evolution"

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Montgomery, Stephen Hugh. "The primate brain : evolutionary history & genetics." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610157.

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Wharton, Deborah Susan. "The evolution of the avian brain." Thesis, University of Bristol, 2002. http://hdl.handle.net/1983/04463ee9-0d16-4d96-a891-d09f0f3661c0.

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Beaulieu-Laroche, Lou. "Dendritic biophysics and evolution." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/130812.

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Thesis: Ph. D. in Neuroscience, Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, February, 2021<br>Cataloged from the official PDF version of thesis. "February 2021."<br>Includes bibliographical references (pages 190-207).<br>The biophysical features of neurons are the building blocks of computation in the brain. Dendrites are the physical site of the vast majority of synaptic connections and can expand the information processing capabilities of neurons. Due to their complex morphological attributes and various ion channels, dendrites shape how thousands of in

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Sylvester, Jonathan Blaylock. "Brain diversity develops early: a study on the role of patterning on vertebrate brain evolution." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42744.

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The brain has been one of the central foci in studies of vertebrate evolution. Work in East African cichlids and other emerging fish models like the Mexican cavefish (Astyanax mexicanus) offer new insight on the role of patterning on brain evolution. These fish can be grouped into two major categories according to habitat; for cichlids it is rock-dwelling (known locally as mbuna) and sand-dwelling (non-mbuna) lineage. The brain development of mbuna versus non-mbuna is defined by changes in gene deployment working along the dorsal/ventral (DV) and anterior/posterior (AP) neuraxes, respectively.

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Blitz, David. "Evolution, emergence and mind." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66021.

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Bush, Eliot Christen. "Evolution and Scaling in Mammalian Brains." Thesis, Connect to this title online, 2004. https://thesis.library.caltech.edu/1191/1/eliot-bush-thesis.pdf.

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<p>Here I look at three stages in the evolutionary development of mammalian brains. Chapter one addresses how connectivity in neocortex scales with brain size. This is of evolutionary interest because it helps define the basic mammalian condition. Neocortical white matter increases disproportionately in large brains. This might reflect increases in the number of connections per neuron. It might also reflect scaling in axon diameter. I compare these hypotheses by examining white matter-gray matter scaling in cerebellum. Because the white matter of cerebellum lacks cortico-cortical connections,

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Page, Damon Theron. "Development and evolution of the embryonic brain in Drosophila." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619556.

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Powell, Lauren Elizabeth. "The evolution of brain size and structure in primates." Thesis, Durham University, 2018. http://etheses.dur.ac.uk/12990/.

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The pressures and constraints influencing the wide variation in primate brain size and composition are hotly contested. Comparative biologists have proposed many alternative hypotheses with no consensus yet emerging. This thesis uses phylogenetic comparative techniques and new data to explore the core issues in primate brain evolution; examining how behavioural ecology is associated with brain size and structure variation and what life history correlates reveal about possible developmental mechanisms producing this variation. The thesis raises a number of important issues for the field. Firstl

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Lewitus, E. "Placental morphology and the cellular brain in mammalian evolution." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1324547/.

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A major focus of evolutionary neurobiology has been on whether different regions of the eutherian brain evolve in concert, and how free the brain is to evolve independently of body plans. Since the eutherian brain is loosely modularized, such that one region is rarely isolated for specialization at the expense of others, but the design of modularization itself can be adapted by tweaking developmental programs, the degree to which brain regions must evolve in concert and can evolve independently may carry a deep phylogenetic signal. Using data collected from preserved brain tissue of 37 primate

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Smith, Ryan M. "Expression Genetics in the Human Brain: Evolution and Disease." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1291037634.

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Books on the topic "Brain evolution"

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Shigeno, Shuichi, Yasunori Murakami, and Tadashi Nomura, eds. Brain Evolution by Design. Springer Japan, 2017. http://dx.doi.org/10.1007/978-4-431-56469-0.

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Roth, Gerhard, 1942 Aug. 15- and Wullimann Mario F, eds. Brain evolution and cognition. Wiley, 2001.

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Santangelo, Antonio. Brain network and cultural shape. La Pietra, 1995.

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Santangelo, Antonio. Brain network and cultural shape. La Pietra, 1995.

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Santangelo, Antonio. Brain network and cultural shape. La Pietra, 1995.

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Howard-Jones, Paul. Evolution of the Learning Brain. Routledge, 2018. http://dx.doi.org/10.4324/9781315150857.

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Fink, Robert. Evolution of the social brain. Greenwich Pub., 1987.

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MacLean, Paul D. The triune brain in evolution. Plenum Press, 1990.

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Pujadas, Rossend. The brain, mastermind of evolution? Minerva, 1998.

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Ellicott, Finch Caleb, Robine Jean-Marie, and Christen Yves, eds. Brain and longevity. Springer, 2003.

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Book chapters on the topic "Brain evolution"

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O’Donnell, Sean. "Brain Development and Brain Evolution." In Encyclopedia of Social Insects. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-28102-1_163.

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O’Donnell, Sean. "Brain Development and Brain Evolution." In Encyclopedia of Social Insects. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-90306-4_163-1.

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Sherwood, Chet C. "Human Brain Evolution." In Encyclopedia of Evolutionary Psychological Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-16999-6_813-1.

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Schoenemann, P. Thomas. "Hominid Brain Evolution." In A Companion to Paleoanthropology. Blackwell Publishing Ltd, 2013. http://dx.doi.org/10.1002/9781118332344.ch8.

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Sherwood, Chet C. "Human Brain Evolution." In Encyclopedia of Evolutionary Psychological Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-19650-3_813.

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Moghtaderi, Ali. "Plastic Brain." In Neurobiological Evolution of Humans. CRC Press, 2024. http://dx.doi.org/10.1201/9781003538400-10.

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Ferretti, Francesco. "The Narrative Brain." In Interdisciplinary Evolution Research. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09206-0_4.

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Ferretti, Francesco. "Beyond the Social Brain." In Interdisciplinary Evolution Research. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09206-0_3.

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Cory, Gerald A. "Evolution, Science, and Society." In The Consilient Brain. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4615-0045-2_21.

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Flannelly, Kevin J. "Brain Evolution and Emotions." In Religious Beliefs, Evolutionary Psychiatry, and Mental Health in America. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52488-7_9.

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Conference papers on the topic "Brain evolution"

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Liu, Gengshuo, Nikhil N. Chaudhari, Nikos Kanakaris, Chenzhong Yin, Paul Bogdan, and Andrei Irimia. "Controllable Generative Model for Brain Evolution." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888742.

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Kytainyk, Vladislav V., Alexander G. Yushchenko, and Daniil Y. Lyalin. "AI - human cooperation in "Second Brain" Technology, as a modern implementation of general evolution in human-machine interaction." In 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA). IEEE, 2025. https://doi.org/10.1109/ichora65333.2025.11017255.

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Tang, Rockwell P., Emily Long, Shannon Kelley, et al. "Longitudinal Evolution of Capillary Stalling in Post-Ischemia Stroke Penumbra." In Optics and the Brain. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/brain.2024.bs3c.3.

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By characterizing longitudinal changes in microvascular flow disruptions post-stroke, we investigate the significance of capillary stalling in recoverable peri-infarct tissues in connection to long-term outcome with the potential for therapeutics.

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Mobus, George. "The evolution of gaia's brain." In Systems Analysis in Economics - 2020. Moscow, "Science" Publishing House, 2021. http://dx.doi.org/10.33278/sae-2020.book1.060-061.

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Sunil, Smrithi, Sefik Evren Erdener, Blaire S. Lee, et al. "The evolution of hemodynamics during stroke recovery: from early hours to subsequent weeks." In Optics and the Brain. OSA, 2020. http://dx.doi.org/10.1364/brain.2020.btu4c.3.

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Chrousos, George P. "“Science and technology: Genes, brain, stress and evolution”." In 2008 8th IEEE International Conference on Bioinformatics and BioEngineering. IEEE, 2008. http://dx.doi.org/10.1109/bibe.2008.4696638.

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CROW, T. J. "PSYCHOSIS AND THE PROBLEM OF HUMAN BRAIN EVOLUTION." In IX World Congress of Psychiatry. WORLD SCIENTIFIC, 1994. http://dx.doi.org/10.1142/9789814440912_0002.

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Ruan, Su, Nan Zhang, Qingmin Liao, and Yuemin Zhu. "Image fusion for following-up brain tumor evolution." In 2011 8th IEEE International Symposium on Biomedical Imaging (ISBI 2011). IEEE, 2011. http://dx.doi.org/10.1109/isbi.2011.5872406.

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Michor, Franziska. "Abstract IA05: Evolution of glioblastoma subtypes." In Abstracts: AACR Special Conference: Advances in Brain Cancer Research; May 27-30, 2015; Washington, DC. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.brain15-ia05.

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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 evolution"

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Gardner, Cara. Physical Activity Levels as Effectors on Brain Evolution. Iowa State University, 2020. http://dx.doi.org/10.31274/cc-20240624-1120.

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Drew, Donald A. Brain Behavior Evolution during Learning: Emergence of Hierarchical Temporal Memory. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada608125.

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Funkenstein, Bruria, and Shaojun (Jim) Du. Interactions Between the GH-IGF axis and Myostatin in Regulating Muscle Growth in Sparus aurata. United States Department of Agriculture, 2009. http://dx.doi.org/10.32747/2009.7696530.bard.

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Growth rate of cultured fish from hatching to commercial size is a major factor in the success of aquaculture. The normal stimulus for muscle growth in growing fish is not well understood and understanding the regulation of muscle growth in fish is of particular importance for aquaculture. Fish meat constitutes mostly of skeletal muscles and provides high value proteins in most people's diet. Unlike mammals, fish continue to grow throughout their lives, although the size fish attain, as adults, is species specific. Evidence indicates that muscle growth is regulated positively and negatively by

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Hulata, Gideon, Thomas D. Kocher, Micha Ron, and Eyal Seroussi. Molecular Mechanisms of Sex Determination in Cultured Tilapias. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7697106.bard.

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Tilapias are among the most important aquaculture commodities worldwide. Commercial production of tilapia is based on monosex culture of males. Current methods for producing all-male fingerlings, including hormone treatments and genetic manipulations, are not entirely reliable, in part because of the genetic complexity of sex determination and sexual differentiation in tilapias. The goals of this project are to map QTL and identify genes regulating sex determination in commonly cultured tilapia species, in order to provide a rational basis for designing reliable genetic approaches for producin

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