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Advances in Physarum Machines

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Cover of 'Advances in Physarum Machines'

Table of Contents

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    Book Overview
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    Chapter 1 Biology of the Physarum polycephalum Plasmodium: Preliminaries for Unconventional Computing
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    Chapter 2 Physarum, Quo Vadis?
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    Chapter 3 Logical Gates and Circuits Implemented in Slime Mould
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    Chapter 4 On the Memristive Properties of Slime Mould
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    Chapter 5 Physarum in Hybrid Electronic Devices
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    Chapter 6 Physarum-Inspired Electronic and Nanoelectronic Computing Systems
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    Chapter 7 Slime Mould Nanotechnology
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    Chapter 8 Long-Term Storable Microfluidic Whole-Cell Biosensor Using Physarum polycephalum for Toxicity Prescreening
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    Chapter 9 Routing Physarum “Signals” with Chemicals
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    Chapter 10 A Chemomodulatory Platform for Physarum polycephalum Incorporating Genetically Transformed Plant Root Cultures
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    Chapter 11 Chemical Sensors and Information Fusion in Physarum
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    Chapter 12 Physarum Wires, Sensors and Oscillators
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    Chapter 13 Physarum and Electronics
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    Chapter 14 Slime Mould Controller for Microbial Fuel Cells
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    Chapter 15 Towards a Slime Mould-FPGA Interface
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    Chapter 16 Slime Mould Approximates Longest Roads in USA and Germany: Experiments on 3D Terrains
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    Chapter 17 Recolonisation of USA: Slime Mould on 3D Terrains
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    Chapter 18 Application of Slime Mould Computing on Archaeological Research
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    Chapter 19 Power Laws of the Physarum Plasmodium
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    Chapter 20 Physarum Imitates Exploration and Colonisation of Planets
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    Chapter 21 Memristive and Memcapacitive Models of Physarum Learning
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    Chapter 22 Multi-agent Slime Mould Computing: Mechanisms, Applications and Advances
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    Chapter 23 Towards a Non-quantum Implementation of Shor’s Factorization Algorithm
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    Chapter 24 Modelling Oscillatory Behaviour of Slime Mould
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    Chapter 25 Physarum Learner: A Slime Mold Inspired Structural Learning Approach
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    Chapter 26 Slime Mould Inspired Applications on Graph-Optimization Problems
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    Chapter 27 Cellular Automata Models Simulating Slime Mould Computing
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    Chapter 28 Parallel Acceleration of Slime Mould Discrete Models
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    Chapter 29 p-Adic Computation with Physarum
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    Chapter 30 Syllogistic Versions of Go Games on Physarum
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    Chapter 31 Halting Physarum Machines Based on Compressibility
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    Chapter 32 Decision-Making at the Cellular Level: The Physarum Paradigm
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    Chapter 33 Towards Collective Visual Perception in a Multi-agent Model of Slime Mould
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    Chapter 34 Physarum-Based Memristors for Computer Music
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    Chapter 35 Translating Slime Mould Responses: A Novel Way to Present Data to the Public
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    Chapter 36 The Creeping Garden: Articulating the Science of Slime Mould on Film
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    Chapter 37 Bodymetries. A Generative Projection Environment for Slime Mould and Humans
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    Chapter 38 On Creativity of Slime Mould
Overall attention for this book and its chapters
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Title
Advances in Physarum Machines
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-26662-6
ISBNs
978-3-31-926661-9, 978-3-31-926662-6
Editors

Andrew Adamatzky

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X Demographics

The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 5%
Researcher 1 3%
Unknown 36 92%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 5%
Agricultural and Biological Sciences 1 3%
Unknown 36 92%