Associative Learning Models: From Hebb to Transformers

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This research explores associative learning models, detailing their evolution from classical frameworks such as Hebbian and Hopfield models to contemporary advancements like transformer attention mechanisms. It delves into the cognitive and biological underpinnings of associative memory, examining synaptic connections and Hebbian plasticity as foundational elements. Classical models are revisited with a focus on their learning properties and architectural design, including statistical...