What learning systems do intelligent agents need? Complementary learning systems theory updated

D Kumaran, D Hassabis, JL McClelland�- Trends in cognitive sciences, 2016 - cell.com
We update complementary learning systems (CLS) theory, which holds that intelligent
agents must possess two learning systems, instantiated in mammalians in neocortex and�…

[HTML][HTML] Organizing memories for generalization in complementary learning systems

W Sun, M Advani, N Spruston, A Saxe…�- Nature�…, 2023 - nature.com
Memorization and generalization are complementary cognitive processes that jointly
promote adaptive behavior. For example, animals should memorize safe routes to specific�…

Integration of new information in memory: new insights from a complementary learning systems perspective

JL McClelland, BL McNaughton…�- …�Transactions of the�…, 2020 - royalsocietypublishing.org
According to complementary learning systems theory, integrating new memories into the
neocortex of the brain without interfering with what is already known depends on a gradual�…

Complementary learning systems

RC O'Reilly, R Bhattacharyya, MD Howard…�- Cognitive�…, 2014 - Wiley Online Library
This paper reviews the fate of the central ideas behind the complementary learning systems
(CLS) framework as originally articulated in McClelland, McNaughton, and O'Reilly (1995)�…

Hippocampal and neocortical contributions to memory: Advances in the complementary learning systems framework

RC O'Reilly, KA Norman�- Trends in cognitive sciences, 2002 - cell.com
The complementary learning systems framework provides a simple set of principles, derived
from converging biological, psychological and computational constraints, for understanding�…

Incorporating rapid neocortical learning of new schema-consistent information into complementary learning systems theory.

JL McClelland�- Journal of Experimental Psychology: General, 2013 - psycnet.apa.org
The complementary learning systems theory of the roles of hippocampus and neocortex
(McClelland, McNaughton, & O'Reilly, 1995) holds that the rapid integration of arbitrary new�…

Methods for reducing interference in the complementary learning systems model: oscillating inhibition and autonomous memory rehearsal

KA Norman, EL Newman, AJ Perotte�- Neural Networks, 2005 - Elsevier
The stability–plasticity problem (ie how the brain incorporates new information into its model
of the world, while at the same time preserving existing knowledge) has been at the forefront�…

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

AC Schapiro, NB Turk-Browne…�- …�of the Royal�…, 2017 - royalsocietypublishing.org
A growing literature suggests that the hippocampus is critical for the rapid extraction of
regularities from the environment. Although this fits with the known role of the hippocampus�…

The neuroscience of learning: beyond the Hebbian synapse

CR Gallistel, LD Matzel�- Annual review of psychology, 2013 - annualreviews.org
From the traditional perspective of associative learning theory, the hypothesis linking
modifications of synaptic transmission to learning and memory is plausible. It is less so from�…

[HTML][HTML] Biologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks

T Miconi�- Elife, 2017 - elifesciences.org
Neural activity during cognitive tasks exhibits complex dynamics that flexibly encode task-
relevant variables. Chaotic recurrent networks, which spontaneously generate rich�…