Complementary Learning Systems in the Brain: A Connectionist Approach to Explicit and Implicit Cognition and Memory

How researchers see this paper

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

Experience Replay for Continual Learning (2018, background): “The problem of catastrophic forgetting in neural networks has long been recognized [6], and it is known that rehearsing past data can be a satisfactory antidote for some purposes [4, 18].”
Online Continual Learning with Maximally Interfered Retrieval (2019, background): “This approach also takes some motivation from neuroscience where replay of previous memories is hypothesized to be present in the mammalian brain [27, 34], but likely not random.”
A Cognition-based View of Decision Processes in Complex Social–Ecological Systems (2007, background): “Memory is the way in which experience is encoded in the brain and shapes present and future functioning (McClelland 1998, Milner et al. 1998).”
TOWARD AN INTERPERSONAL NEUROBIOLOGY OF THE DEVELOPING MIND: ATTACHMENT RELATIONSHIPS, "MINDSIGHT," AND NEURAL INTEGRATION (2001, background): “Memory is the way in which past experience is encoded in the brain and shapes present and future functioning (McClelland, 1998; Milner, Squire, & Kandel, 1998).”
REFLECTIONS ON FREQUENCY EFFECTS IN LANGUAGE PROCESSING (2002, background): “The use of exaggerated stimuli and adaptive training led to rapid learning, whereas the use of difficult stimuli with no adaptive modification produced little or no benefit (McCandliss, Conway, Fiez, Protopapas, & McClelland, 1998; McClelland).”