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Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes.
Christopher J. Cueva
Adel Ardalan
Misha Tsodyks
Ning Qian
Published in:
CoRR (2021)
Keyphrases
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recurrent neural networks
working memory
continuous variables
echo state networks
probabilistic model
bayesian networks
information processing
complex systems
focus of attention
feed forward
bayesian framework
human brain
computational models
neural network
data management
learning process
computer vision