The Division of Labor Between the Neocortex and Hippocampus

By Randall C. O’Reilly. 2010

Subfields: Neuroscience

How researchers see this paper

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

In Neuroscience

1. Christopher Kanan
2. German Ignacio Parisi
3. Alexander Rainer Tassilo Gepperth
4. Stefan Wermter
5. Barbara Hammer
6. Cem Karaoguz
7. Ronald Kemker
8. Ali Ayub

Citations in the corpus

• Continual Lifelong Learning with Neural Networks: A Review (2018, background): “In the neocortex, feedback signals will yield task-relevant representations while, in the case of the hippocampus, error-driven modulation can switch its functionally between pattern discrimination and completion for recalling information (O’Reilly 2004).”
• Incremental learning algorithms and applications (2016, background): “Generally speaking, the hippocampus employs a rapid learning rate with separated representations whereas the neocortex learns slowly, building overlapping representations of the learned task [122].”
• A Bio-Inspired Incremental Learning Architecture for Applied Perceptual Problems (2016, background): “Generally speaking, the hippocampus employs a rapid learning rate with separated representations whereas the neocortex learns slowly, building overlapping representations of the learned task [19].”