Hopfield networks are energy Based memory models

Hopfield networks are an early attempt at building artificial memory systems based on neural networks. They are trained to shape an energy landscape so that the energy of states associated with prototype patterns are located in local optima. When performing content-based addressing using a corrupted pattern, the Hopfield network dynamics can converge to a prototype based on its basins of attraction.

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