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Books on the topic 'Architecture and Neuroscience'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

The architect's brain: Neuroscience, creativity, and architecture. Wiley-Blackwell, 2010.

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Brain landscape: The coexistence of neuroscience and architecture. Oxford University Press, 2009.

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3

editor, Robinson Sarah (Architect), and Pallasmaa Juhani editor, eds. Mind in architecture: Neuroscience, embodiment, and the future of design. The MIT Press, 2015.

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4

Kak, Subhash. The Architecture of Knowledge: Quantum mechanics, neuroscience, computers, and consciousness. Project of History of Indian Science, Philosophy, and Culture, 2004.

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5

Zeisel, John. Inquiry by design: Environment/behavior/neuroscience in architecture, interiors, landscape, and planning. W.W. Norton & Company, 2006.

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6

Inquiry by design: Environment/behavior/neuroscience in architecture, interiors, landscape, and planning. W.W. Norton & Company, 2005.

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7

Friedemann, Mahlke, ed. Building with straw: Design and technology of a sustainable architecture. Birkhäuser, 2005.

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8

Robinson, Sarah, Juhani Pallasmaa, and Matteo Zambelli, eds. La mente in architettura. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-286-7.

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Although we spend more than ninety percent of our lives inside buildings, we understand very little about how the built environment affects our behavior, thoughts, emotions, and well-being. We are biological beings whose senses and neural systems have developed over millions of years; it stands to reason that research in the life sciences, particularly neuroscience, can offer compelling insights into the ways our buildings shape our interactions with the world. In Mind in Architecture, leading thinkers from architecture and other disciplines, including neuroscience, cognitive science, psychiat

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9

Wermter, Stefan, Jim Austin, and David Willshaw, eds. Emergent Neural Computational Architectures Based on Neuroscience. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44597-8.

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10

Chella, Antonio. Biologically Inspired Cognitive Architectures 2012: Proceedings of the Third Annual Meeting of the BICA Society. Springer Berlin Heidelberg, 2013.

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11

Sandra, Blakeslee, ed. Phantoms in the brain: Human nature and the architecture of the mind. Fourth Estate, 1998.

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12

Mallgrave, Harry Francis. Architect's Brain: Neuroscience, Creativity, and Architecture. Wiley & Sons, Incorporated, John, 2011.

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13

Mallgrave, Harry Francis. Architect's Brain: Neuroscience, Creativity, and Architecture. Wiley & Sons, Limited, John, 2009.

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14

Mallgrave, Harry Francis. Architect's Brain: Neuroscience, Creativity, and Architecture. Wiley & Sons, Incorporated, John, 2011.

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15

Architect's Brain: Neuroscience, Creativity, and Architecture. Wiley & Sons, Incorporated, John, 2010.

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16

The Architect's Brain: Neuroscience, Creativity, and Architecture. Wiley-Blackwell, 2011.

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17

Verschure, Paul F. M. J. The architecture of mind and brain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0035.

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The components of a Living Machine must be integrated into a functioning whole, which requires a detailed understanding of the architecture of living machines. This chapter starts with a conceptual and historical analysis which from Plato brings us to nineteenth-century neuroscience and early concepts of the layered structure of nervous systems. These concepts were further captured in the cognitive behaviorism of Tolman and came to full fruition in the cognitive revolution of the second half of the twentieth century. Verschure subsequently describes the most relevant proposals of cognitive arc

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18

(Editor), Stefan Wermter, Jim Austin (Editor), and David Willshaw (Editor), eds. Emergent Neural Computational Architectures Based on Neuroscience: Towards Neuroscience-Inspired Computing (Lecture Notes in Computer Science). Springer, 2001.

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19

Architecture and the Brain: A New Knowledge Base from Neuroscience. Greenway Communications LLC, 2007.

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20

Mind in Architecture: Neuroscience, Embodiment, and the Future of Design. The MIT Press, 2017.

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21

Robinson, Sarah, Juhani Pallasmaa, Michael A. Arbib, and Mark L. Johnson. Mind in Architecture: Neuroscience, Embodiment, and the Future of Design. MIT Press, 2015.

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22

Robinson, Sarah, Juhani Pallasmaa, Michael A. Arbib, and Tom Albright. Mind in Architecture: Neuroscience, Embodiment, and the Future of Design. MIT Press, 2015.

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23

Pallasmaa, Juhani. Mind in Architecture: Neuroscience, Embodiment, and the Future of Design. MIT Press, 2015.

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24

Beauty, Neuroscience and Architecture: Timeless Patterns and Their Impact on Our Well-Being. Fibonacci Inc., 2018.

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25

Mitchell, Karen J. The Cognitive Neuroscience of Source Monitoring. Edited by John Dunlosky and Sarah (Uma) K. Tauber. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199336746.013.2.

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Source monitoring is a metamemory function that includes processes for encoding and organizing the content of memories, and processes that selectively revive, cumulate, and evaluate that content in the service of making attributions about the origin of the information (e.g., perception vs imagination). Neuroimaging techniques, especially functional magnetic resonance imaging (fMRI), are encouraging rapid developments in understanding the neural mechanisms supporting source monitoring. This chapter reviews current findings, placing them in historical context. It highlights key issues of particu

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26

Farb, Norman, Philip A. Desormeau, and Le-anh Dinh-Williams. The Neuroscience of Hypo-Egoic Processes. Edited by Kirk Warren Brown and Mark R. Leary. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199328079.013.8.

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The term “hypo-egoic” can refer to a variety of cognitive states, ranging from internal experiences of meditation, hypnosis, or spirituality, to overt acts of forgiveness or altruism. This chapter reviews the nascent literature on the neuroscience supporting such states, aiming to provide a more unified neural account. For parsimony, research findings are framed in terms of implicated brain networks, with particular attention as to whether networks are modulated to directly inhibit of egoic processes, or to generate competing, experientially salient, hypo-egoic states. The chapter concludes th

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27

Waller, R. Corey. The Neuroscience of Pain and Addiction (DRAFT). Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190265366.003.0002.

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This chapter addresses the neurological architecture of both pain and addiction. The components of the relationship between the two are manifold, and include substances ingested; neurotransmitters and their receptor sites; cells, tissues, and organs and their integrated function. The author focuses on the basic neuroscience. The opening discussion (“Progress in Understanding Pain and Addiction”) maps our present understanding of both the plasticity of brain circuits and the fixity of drug effects. There follows a review of the anatomical structure of the brain, integrated with the known addict

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28

Zeisel, John. Inquiry by Design: Environment/Behavior/Neuroscience in Architecture, Interiors, Landscape, and Planning, Updated and Revised Edition. W. W. Norton, 2006.

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29

Zeisel, John. Inquiry by Design: Environment/Behavior/Neuroscience in Architecture, Interiors, Landscape, and Planning, Updated and Revised Edition. W. W. Norton, 2006.

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30

Anatomy of the Mind: Exploring Psychological Mechanisms and Processes with the Clarion Cognitive Architecture. Oxford University Press, 2016.

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31

Lewis, George E., and Benjamin Piekut, eds. The Oxford Handbook of Critical Improvisation Studies, Volume 1. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780195370935.001.0001.

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Improvisation informs a vast array of human activities, from creative practices in art, dance, music, and literature to everyday conversation and the relationships to natural and built environments that surround and sustain us. These volumes gather scholarship on improvisation from a similarly wide range of perspectives, with contributions from more than 60 scholars working in architecture, anthropology, art history, computer science, cognitive science, cultural studies, dance, economics, education, ethnomusicology, film, gender studies, history, linguistics, literary theory, musicology, neuro

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32

Piekut, Benjamin, and George E. Lewis, eds. The Oxford Handbook of Critical Improvisation Studies, Volume 2. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199892921.001.0001.

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Improvisation informs a vast array of human activities, from creative practices in art, dance, music, and literature to everyday conversation and the relationships to natural and built environments that surround and sustain us. These volumes gather scholarship on improvisation from a similarly wide range of perspectives, with contributions from more than 60 scholars working in architecture, anthropology, art history, computer science, cognitive science, cultural studies, dance, economics, education, ethnomusicology, film, gender studies, history, linguistics, literary theory, musicology, neuro

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33

Stewart, Lauren, Katharina von Kriegstein, Simone Dalla Bella, Jason D. Warren, and Timothy D. Griffiths. Disorders of Musical Cognition. Edited by Susan Hallam, Ian Cross, and Michael Thaut. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199298457.013.0017.

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This article presents an overview of case studies of acquired disorders of musical listening. Like any cognitive faculty, music is multifaceted, and the identification of the neural basis of any complex faculty must proceed, hand in hand, with an elucidation of its cognitive architecture. The past decade has seen an evolution in the theoretical models of musical processing, allowing the development of theoretically motivated instruments for the systematic evaluation of musical disorders. Such developments have allowed reports of musical disorders to evolve from historical anecdotes to systemat

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34

Anderson, James A. Loose Ends. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0017.

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This chapter presents some ideas about Ersatz Brain Theory, which generalizes models presented in the book. It is based on three equal components: computation, cognition, and neuroscience. In the Ersatz Brain, the basic computing elements are locally interconnected groups of neurons, for example, cortical columns, and not single neurons. Columns are more powerful than neurons alone because of the potential for selectivity and reliability. A “network of networks” modular architecture is formed from interconnected groups. Response selection emerges from the stability properties of dynamical syst

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35

Antony, Louise, and Georges Rey. Philosophy and Psychology. Edited by Herman Cappelen, Tamar Szabó Gendler, and John Hawthorne. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199668779.013.36.

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Philosophy and psychology have always been inseparable, particularly with regard to issues of methodology. The chapter begins with a brief history of the a priori and introspectivist traditions of both, and of the various forms of behaviorism that were a reaction to them. It then turns to the “computational” and “functionalist” approaches to the mind that grew out of the development of the computer and especially the linguistic work of Noam Chomsky. These blossomed into the research program of “cognitive science” that combines work in linguistics, psychology, neuroscience, biology, and compute

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36

de Almeida, Roberto G. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190464783.003.0001.

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It is patent that the so-called cognitive revolution of the 1950s and 1960s was the result of ideas emerging at the confluence of psychology, linguistics, philosophy, computer science, and neuroscience—what became known as cognitive science. In the last 60 years or so, Jerry Fodor has been one of the most important exponents of this revolution. He has advanced key ideas on the foundations of cognitive science, in particular on the nature of mental representation and on mental processes seen as computations over symbols. Many of his contributions have been the subject of deep divides and have g

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37

translator, Walter Rae, Metzger Christoph 1962-, and First Edition Translations Ltd, eds. Neuroarchitecture. 2018.

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38

Ebstein, Richard P., Songfa Zhong, Robin Chark, Poh San Lai, and Soo Hong Chew. Modeling the Genetics of Social Cognition in the Laboratory. Edited by Turhan Canli. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.017.

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This chapter examines recent advances in the genetics of social cognition, discussing evidence from twin studies that confirm the relevancy of genetic hard wiring in understanding many social phenotypes, with important implications for the social sciences and for genome-wide association studies (GWAS) that may identify specific genes contributing to a wide range of social phenotypes, genoeconomics, and individual and social decision making. Stressing the importance of phenotype definition and precise measurement as key to success in GWAS, the authors argue that laboratory-based behavioral econ

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39

How To Build A Brain A Neural Architecture For Biological Cognition. Oxford University Press Inc, 2013.

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40

Aunger, Robert. Reset. Oxford University Press, 2020. http://dx.doi.org/10.1093/med-psych/9780197532638.001.0001.

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Behavior change is a hot topic in many fields nowadays, from public health to marketing to web design to architecture and public policy. However, there is little consensus about how to approach it: there are over 100 change theories in health psychology alone, and the field of behavioral economics has over 100 “nudges” for inspiring behavior change as well (just to mention the two most prominent fields dealing with this topic). This book is about a new, generic way of approaching behavior change called Behavior Centered Design (BCD). It provides a theory-based framework for designing behavior

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41

Friston, Karl J., and Raymond J. Dolan. Computational Psychiatry and the Bayesian Brain. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0072.

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This chapter considers recent advances in computational neuroscience that are especially relevant for psychiatry. We offer a review of computational psychiatry in terms of its ambitions, emerging domains of application, and promises for the future. Our focus is on theoretical formulations of brain function that accommodate subjective beliefs and behavior within formal (computational) frameworks—frameworks that can be grounded in neurophysiology down to the level of synaptic mechanisms. Understanding the nature and principles that underlie functional brain architectures is, we assume, essential

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