Reverse-Engineering the Wetware: Spiking Networks and the End of Matrix Math
pgte Sunday, March 01, 2026
Summary
This article explores the potential limitations of neural networks and matrix math in modeling biological neural networks. It proposes an alternative approach focused on reverse-engineering the 'wetware' of the brain, including spiking networks and temporal difference errors, as a way to develop more biologically-inspired AI systems.
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