[HTML][HTML] Continual lifelong learning with neural networks: A review

GI Parisi, R Kemker, JL Part, C Kanan, S Wermter - Neural networks, 2019 - Elsevier
Humans and animals have the ability to continually acquire, fine-tune, and transfer
knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is …

[HTML][HTML] Neuroscience-inspired artificial intelligence

D Hassabis, D Kumaran, C Summerfield, M Botvinick - Neuron, 2017 - cell.com
The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history.
In more recent times, however, communication and collaboration between the two fields has …

Orthogonal gradient descent for continual learning

M Farajtabar, N Azizan, A Mott… - … conference on artificial …, 2020 - proceedings.mlr.press
Neural networks are achieving state of the art and sometimes super-human performance on
learning tasks across a variety of domains. Whenever these problems require learning in a …

Flexible reuse of cortico-hippocampal representations during encoding and recall of naturalistic events

ZM Reagh, C Ranganath - Nature Communications, 2023 - nature.com
Although every life event is unique, there are considerable commonalities across events.
However, little is known about whether or how the brain flexibly represents information about …

Human replay spontaneously reorganizes experience

Y Liu, RJ Dolan, Z Kurth-Nelson, TEJ Behrens - Cell, 2019 - cell.com
Knowledge abstracted from previous experiences can be transferred to aid new learning.
Here, we asked whether such abstract knowledge immediately guides the replay of new …

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 …

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 …

Memory, navigation and theta rhythm in the hippocampal-entorhinal system

G Buzsáki, EI Moser - Nature neuroscience, 2013 - nature.com
Theories on the functions of the hippocampal system are based largely on two fundamental
discoveries: the amnestic consequences of removing the hippocampus and associated …

Map making: constructing, combining, and inferring on abstract cognitive maps

SA Park, DS Miller, H Nili, C Ranganath, ED Boorman - Neuron, 2020 - cell.com
Cognitive maps enable efficient inferences from limited experience that can guide novel
decisions. We tested whether the hippocampus (HC), entorhinal cortex (EC), and …

Can physical exercise in old age improve memory and hippocampal function?

E Duzel, H van Praag, M Sendtner - Brain, 2016 - academic.oup.com
Physical exercise can convey a protective effect against cognitive decline in ageing and
Alzheimer's disease. While the long-term health-promoting and protective effects of exercise …