Organizing memories for generalization in complementary learning systems - Nature Neuroscience

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Organizing memories for generalization in complementary learning systems - Nature Neuroscience
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New theory better explains how the brain stores memories NatureNeuro

). For example, in a human, an output neuron contributing to a representation of the word ‘bird’ might receive strong inputs from neurons associated with wings and flight. In a mouse, an output neuron associated with behavioral freezing might receive strong inputs from neurons associated with the sound of an owl, the smell of a snake or the features of a laboratory cage where it had been shocked.

Neurons that are not connected to the output neuron are colored gray. This example is for illustrative purposes, and an input neuron in one relationship could be an output neuron in another relationship., Learning modifies weights between the input and output neurons to reproduce each past experience., Cartoon of the teacher–student–notebook formalism; subscripts ‘i’ and ‘o’ refer to input and output layers., Neural network model architecture used in most simulations, unless otherwise noted.

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