Biology

• Complexity
• Self Organizing systems
• https://nick-lane.net/chapters/vital-question-introduction-life-way/ - Read Book
• Sean B. Carroll - The Serengeti Rules
• Gordon Shepherd - Neurobiology
• The Human Advantage
• David Marr Vision
• Arrival of the Fittest: How Nature Innovates
• The Neuroscience of Intelligence
• From Stars to Brains: Milestones in the Planetary Evolution of Life and Intelligence
• What is life by Paul Nurse

Currently Doing

• Introductory Biology from MIT

Interested in

• Developmental Biology
• Genetics, Epigenetics
• Molecular Biology
• Cellular Biology
• Living Systems
• Cognitive Neuroscience

Study Plan

• Crash Course in Biology New

• Virology 2024

• [1] Introductory Biology MIT

• Mathematical challenges to Darwins theory of evolution

• MIT Computational Biology

• Deep Learning in Life Sciences

• Machine Learning in Computational Biology

• Machine Learning for Genomics

• Computational Life

  • paper

• Institutions working on origin of life

  • UCL
  • Harvard
  • Origin of Life Initiative Munich

📖 Essential Books on Self-Organization in Biology

• "How Nature Works: The Science of Self-Organized Criticality" – Per Bak
• "Self-Organization in Biological Systems" – Scott Camazine et al.
• "The Self-Made Tapestry: Pattern Formation in Nature" – Philip Ball
• "Nonlinear Dynamics and Chaos" – Steven Strogatz

2️⃣ Morphogenesis & Biological Pattern Formation

• "The Algorithmic Beauty of Sea Shells" – Hans Meinhardt
• "Mathematical Biology" – James D. Murray
• "On Growth and Form" – D’Arcy Wentworth Thompson

3️⃣ Swarm Intelligence, Collective Behavior & Evolutionary Dynamics

• "Swarm Intelligence: From Natural to Artificial Systems" – Bonabeau, Dorigo, Theraulaz
• "Evolutionary Dynamics: Exploring the Equations of Life" – Martin Nowak
• "Supercooperators: Altruism, Evolution, and Why We Need Each Other to Succeed" – Martin Nowak

4️⃣ Computational Models & Artificial Life

• "The Origins of Order: Self-Organization and Selection in Evolution" – Stuart Kauffman
• "Cellular Automata and Complexity" – Stephen Wolfram
• "Artificial Life" – Christopher Langton (Editor)

🛠 Research Papers & Classic Works

• Alan Turing (1952) - "The Chemical Basis of Morphogenesis"
• Per Bak, Tang & Wiesenfeld (1987) - "Self-Organized Criticality"
• Holland (1975) - "Adaptation in Natural and Artificial Systems"

📌 Suggested Learning Path (Beginner to Advanced)

1️⃣ Start with "How Nature Works" (Per Bak) for an intuitive understanding. 2️⃣ Read "Self-Organization in Biological Systems" (Camazine et al.) for biological examples. 3️⃣ Study "Nonlinear Dynamics and Chaos" (Strogatz) for the math behind self-organization. 4️⃣ Explore morphogenesis via "Mathematical Biology" (Murray) & Turing's papers. 5️⃣ Deep dive into swarm intelligence & evolutionary dynamics (Kauffman, Nowak). 6️⃣ If interested in artificial systems, read Wolfram, Langton, and Holland.