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Brain Art

Overview of attention for book
Cover of 'Brain Art'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Brain-Computer Interfaces for Artistic Expression
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    Chapter 2 The Interface Is the (Art)Work: EEG-Feedback, Circuited Selves and the Rise of Real-Time Brainmedia (1964–1977)
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    Chapter 3 Brain-Computer Interfaces in Contemporary Art: A State of the Art and Taxonomy
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    Chapter 4 More Than One—Artistic Explorations with Multi-agent BCIs
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    Chapter 5 Evaluating BCI for Musical Expression: Historical Approaches, Challenges and Benefits
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    Chapter 6 Using Synchrony-Based Neurofeedback in Search of Human Connectedness
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    Chapter 7 EEG KISS: Shared Multi-modal, Multi Brain Computer Interface Experience, in Public Space
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    Chapter 8 New Ways of Knowing Ourselves. BCI Facilitating Artistic Exploration of Our Biology
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    Chapter 9 Understanding Perceptual Experience of Art Using Mobile Brain/Body Imaging
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    Chapter 10 Your Brain on Art: A New Paradigm to Study Artistic Creativity Based on the ‘Exquisite Corpse’ Using Mobile Brain-Body Imaging
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    Chapter 11 Self-conscience/Physical Memory: An Immersive, Kinetic Art Installation Driven by Real-Time and Archival EEG Signals
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    Chapter 12 Advancing the Rehabilitative and Therapeutic Potential of BCI and Noninvasive Sensing Systems
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    Chapter 13 BCI-Based Expressive Arts: Moving Toward Mind-Body Alignment
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    Chapter 14 Brain-Controlled Cinema
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    Chapter 15 The Making of Brain Painting—From the Idea to Daily Life Use by People in the Locked-in State
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    Chapter 16 Methods and Tools for Using BCI with Augmented and Virtual Reality
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    Chapter 17 The BR4IN.IO Hackathons
Attention for Chapter 8: New Ways of Knowing Ourselves. BCI Facilitating Artistic Exploration of Our Biology
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Chapter title
New Ways of Knowing Ourselves. BCI Facilitating Artistic Exploration of Our Biology
Chapter number 8
Book title
Brain Art
Published by
Springer, Cham, May 2019
DOI 10.1007/978-3-030-14323-7_8
Book ISBNs
978-3-03-014322-0, 978-3-03-014323-7
Authors

Laura Jade, Sam Gentle

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Neuroscience 1 50%
Engineering 1 50%