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11/01/2021
Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes
Many daily activities and psychophysical experiments involve keeping mul...
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12/21/2019
Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks
Recent work suggests goal-driven training of neural networks can be used...
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03/21/2018
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
Decades of research on the neural code underlying spatial navigation hav...
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10/09/2017