From Vision to Learning: A Roadmap for Biological Computing

This blog series explores how biological neural networks can be integrated into modern AI systems. The posts progress from practical applications to increasingly general principles, moving from perception to representation, dynamics, and ultimately algorithm discovery.


Note: This is a living document, and we are building in the open. We expect frequent updates and actively welcome feedback from the community.

Biological Neural Dynamics for Computer Vision

Using Neural Connectivity Patterns To Improve Image Reconstruction Quality

Bridging Biology and Silicon: The Neural Dynamics Adapter

A Sense of Space and Time: Optimizing Interactive Video Generation

Beyond Weight Recycling: Algorithm Discovery for Sustained Plasticity in Neural Networks