Neuroscience and the Dream of Digital Immortality The Upload Illusion

Introduction

Chapter 1. The Dream of Digital Immortality

• From ancient myths of eternal life to modern medicine’s battle against aging
• The Alchemical Age: Transformation of Matter, Preservation of Life
• The Age of Reason and the Birth of Scientific Immortality
• From Electricity to the Mind Machine and the struggle for life
• Continuing Progress. More Deep and Strong
• Science Fiction vs. Science

Chapter 2. The Birth of Neuroscience: How the Brain Works

• Early discoveries of neurons, synapses, and the electrical nature of the brain
• Brains as Information Processors
• The Brain as Computer
• The Mathematical Brain
• The First Neural Networks
• From biology to machines
• The rise of brain imaging (fMRI, EEG, MEG)

Chapter 3. Consciousness: The Hard Problem

• The Tale of Two Problems: Function vs. Feeling
• From Theory to Tissue: The Biological Blueprint
• Many Brains: The Distributed Mind
• Why Consciousness Matters
• Philosophical Foundations
• Neuroscientific theories of consciousness

Chapter 4. Artificial Intelligence and the Brain

• AI as a Mirror of the Mind: From Early Symbolic AI to Modern Deep Learning
• The Birth of Artificial Intelligence
• The Rise, Fall, and Revival of Connectionism
• The difference between AI architectures and the brain
• Deep Learning: Intelligence Through Layers
• Biologically Inspired Neural Networks
• Learning through experience
• The GPT Revolution: Patterns as Meaning

Chapter 5. The Barriers to Uploading

• Technical barriers
• Capturing the 'Dynamic Brain': New Mapping Technologies
• Beyond Neurons: The Role of Support Cells and Chemistry
• Vision of the Future: "Internal Software" and Chemical Computing
• Embodiment and sensory integration
• Biological problems
• Vision of Computing Power: Managing Heat and Entropy
• Philosophical barriers: Identity paradoxes—if a copy is made, is it “you” or just a duplicate?

Chapter 6. Experiments on the Edge of Science

• The Connectome
• Simulating the Brain: From Single Neurons to Whole-Brain Models
• The Virtual Brain: a simulator of primate brain network dynamics
• Other experiments

Chapter 7. Fears and Dreams of Digital Immortality

• When Science Contradicts Itself: Public Attitudes and Ethical Debates
• Why Progress Is Slower Than It Appears: Practical and Institutional Constraints
• Science and Pseudoscience, Misinformation, and the Challenge of Clarity
• Plausible future scenarios and false promises

Appendix

Biography

Dr. Ildar Rakhmatulin is a hardware, software, and AI engineer who builds affordable neurotechnology to bring practical brain–computer interfaces to researchers and makers alike. He has worked at Imperial College London and as a brain-computer interface developer, conducted AI research at Heriot-Watt University, and contributed to neurotechnology projects as a researcher in the Neurotechnology Group at the University of Edinburgh. He combines research in neurointerfaces, biodata processing, and machine learning for EEG classification with hands-on product development as the founder of PiEEG, an open platform for low-cost BCI hardware and software. Dr. Rakhmatulin contributes to open-source BCI projects, teaches practical courses on Udemy, and speaks and writes to help engineers apply EEG and ML in real projects.