Complementary learning systems within the hippocampus: A neural network modeling approach to reconciling episodic memory with statistical learning

By Anna C. Schapiro, Nicholas B. Turk-Browne, Matthew Botvinick, Kenneth A. Norman. bioRxiv, 2016

423 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/0a42ebda2726e0395f7b2ed0d4bc0472028b10ee

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Matthew Botvinick
2. Demis Hassabis
3. Charles Blundell
4. C. Barry
5. Dharshan Kumaran
6. James L. McClelland

In Cognitive Neuroscience

1. Matthew Botvinick
2. Demis Hassabis
3. Dharshan Kumaran
4. Charles Blundell
5. Adrià Puigdomènech Badia
6. Sergey Levine
7. C. Barry
8. Martin Chadwick

Citations in the corpus

• MEMO: A Deep Network for Flexible Combination of Episodic Memories (2020, methodology): “This sequence of memories activation is reminiscent of the one predicted by computational model of the hippocampus (Kumaran & McClelland, 2012; Schapiro et al., 2017) and observed in neural data (Koster et al., 2018).”