Project Ganglion: can biology make AI more adaptive?
Project Ganglion asks whether selected principles of biological neural organization — local processing, recurrent dynamics, adaptive regulation, selective plasticity, and distributed coordination — can be expressed as computational mechanisms and make artificial systems more robust under change. The work is early, and no results are claimed yet.
Read the hypothesis