Compare learning rules, state dynamics, and hardware evidence

Hebbian rules, Hopfield nets, spikes, reservoirs, neural ODEs. Which ones quietly power today's systems, which are mostly for understanding brains, and how can you tell a real energy win from a sales pitch?

What you’ll explore

• Alternative neural models should be compared by the state they update, learning signals they require, tasks they solve, and measured system costs; biological analogy and architectural novelty are separate from demonstrated advantage.