Computational Neuroscience
Associative learning is a fundamental learning process where an organism learns to connect two stimuli or an action and its consequence. This type of learning enables organisms to predict future events based on past experiences, forming the basis for many behavioral adaptations. It underlies various cognitive processes and is closely related to changes in synaptic strength, which are crucial for memory formation and behavior.
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