Fungal Computing: Theoretical, Hypothetical, and DIY Approaches to Building a Mycelium-Based Computer at Home
Fungal Computing: Theoretical, Hypothetical, and DIY Approaches to Building a Mycelium-Based Computer at Home
About the Book
Fungal Computing: Theoretical, Hypothetical, and DIY Approaches to Building a Mycelium-Based Computer at Home explores the fascinating intersection of biology and computation by examining how mycelium networks can be harnessed for information processing. This book delves into the theoretical foundations of fungal computing, its parallels with neural networks, and the potential it holds as an alternative to traditional silicon-based systems.
Readers will journey through the scientific principles behind mycelium as a computing substrate, including its electrical signaling, data storage capabilities, and bio-semiotic properties. The book also presents a hands-on, step-by-step guide to cultivating and building a functional mycelium computer at home, outlining necessary materials, signal processing techniques, and troubleshooting strategies.
Beyond the practical aspects, the book explores cutting-edge speculative advancements, such as hybridizing mycelium with artificial intelligence, engineering fungi with CRISPR for enhanced computation, and integrating mycelial logic circuits with existing technology. Ethical considerations, future implications, and the role of fungal computing in a post-silicon world are also examined.
Whether you're a scientist, a tech enthusiast, or a DIY biohacker, this book provides an engaging and comprehensive look into the world of fungal computing—blending theory, experimentation, and imaginative possibilities to unlock the computational potential of living networks.
About the Author
Table of Contents
- The Basics
- Previewing and publishing
- Basic formatting
- Markdown and Markua
- Generate a preview version of your book
- Either read a tutorial, or just go for it!
- Thanks for being a Leanpub author!
- Writing in Markua
- Section One
- Including a Chapter in the Sample Book
- Links
- Images
- Lists
- Page Breaks
- Code Samples
- Tables
- Math
- Headings
- Block quotes, Asides and Blurbs
- Good luck, have fun!
- author: Brent Jensen identifier: 5b3e587e-333b-4cc5-9728-59f9ea1d611d language: en title: “Fungal Computing: Theoretical, Hypothetical, and DIY Approaches to Building a Mycelium-Based Computer at Home”
- 4.1. Choosing the Right Mycelium Strain
- 4.2. Growing and Cultivating Mycelium
- 4.3. Essential Tools and Sensors
- 4.4. Electrodes and Signal Processing Hardware
- 5.1. Preparing a Mycelium Growth Medium
- 5.2. Culturing Mycelium for Optimal Network Formation
- 5.3. Embedding Electrodes in the Mycelium Substrate
- 5.4. Stimulating Mycelium with Electrical Signals
- 5.5. Recording and Interpreting Mycelium Responses
- 6.1. Hybridizing Mycelium with Other Biological Systems
- 6.2. Incorporating AI to Interpret Mycelial Computation
- 6.3. Engineering Mycelium with CRISPR for Enhanced Processing Power
- 6.4. Creating Mycelium Circuits with Conductive Biomaterials
- 7.1. Common Growth Issues and Solutions
- 7.2. Improving Electrical Signal Transmission
- 7.3. Avoiding Contamination and Maintaining Stability
- 7.4. Boosting Data Processing Speed in Mycelium Networks
- 8.1. Using Mycelium to Solve Maze and Pathfinding Problems
- 8.2. Environmental Sensing and Mycelium-Based IoT Devices
- 8.3. Generating Random Numbers with Fungal Growth Patterns
- 8.4. Mycelium as an Organic Neural Network
- 9.1. Can Mycelium Achieve Consciousness?
- 9.2. The Ethics of Using Living Organisms as Computers
- 9.3. The Role of Fungal Computing in Post-Silicon Technologies
- 9.4. Speculative Fiction and Cyberpunk Visions of Fungal AI
- 10.1. Expanding the Capabilities of DIY Fungal Computing
- 10.2. Integrating Mycelium Computing with Traditional Hardware
- 10.3. The Future of Biomolecular Computing Research
- 10.4. Encouraging Citizen Science in Mycelium-Based Computing
- The Basics
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