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.
The Biological Computing Co. Partners with AWS to Bring World’s First Neuron-Derived AI Video Model to Market
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
The most efficient AI will learn from biology.
Our first neuron-derived video model is just the beginning. Be among the first to create with it and help us build what comes next.
