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Recurrent Network Models of Sequence Generation and Memory
Kanaka Rajan
, Christopher D D. Harvey
,
David W W. Tank
Princeton Neuroscience Institute
Physics
Princeton Materials Institute
Molecular Biology
Research output
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Contribution to journal
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Article
›
peer-review
266
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Scopus citations
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Keyphrases
Working Memory
100%
Recurrent Network Model
100%
Sequence Memory
100%
Sequence Generation
100%
Network Architecture
50%
Two-alternative Forced Choice
50%
Network Model
50%
Cellular Resolution
50%
Small Fraction
50%
Memory-guided Attention
50%
Posterior Parietal Cortex
50%
Virtual Memory
50%
External Inputs
50%
Recurrent Network
50%
In-network
50%
Network Activity
50%
Sequential Activation
50%
Random Connectivity
50%
Unstructured Network
50%
Neural Sequences
50%
Synaptic Connectivity
50%
Image Dataset
50%
Asymmetric Connection
50%
Feedforward Connection
50%
Specialized Architectures
50%
Computer Science
Recurrent Network
100%
Network Architecture
50%
Virtual Memory
50%
External Input
50%
Network Activity
50%
Decision Making
50%
Neuroscience
Working Memory
100%
Behavior (Neuroscience)
50%
Two-Alternative Forced Choice
50%
Posterior Parietal Cortex
50%
Decision Making
50%
Biochemistry, Genetics and Molecular Biology
Working Memory
100%
Decision Making
50%
Cooperation
50%