How to build a brain from a genome? An algorithmic perspective on information budget and development
TonyZador · x · 2026-08-16
This deep-dive article, co-authored by a computer scientist and a neurobiologist, frames brain construction as an engineering and algorithmic problem: writing a program for a single cell to elaborate into a brain network within a genome-sized instruction set (1GB) and a finite developmental window (1 year).
Key Insights:
- Information Budget Constraints: The genome is too small to store per-synapse wiring, and blind axonal searching would take too long. These algorithmic constraints drive the design toward specific solutions.
- Engineering Logic Validates Biology: Strategies derived from first principles by computer scientists closely resemble the actual developmental strategies used by organisms.
- Computational Necessity: This suggests features of neural development may be grounded in computational necessity rather than evolutionary contingency alone. The design of the brain may be recoverable by asking how a genome must specify it.
Related event: How Genomes Build Brains with Limited Information(2 posts)→
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