[PDF][PDF] On the integration of space, time, and memory

H Eichenbaum - Neuron, 2017 - cell.com
The hippocampus is famous for mapping locations in spatially organized environments, and
several recent studies have shown that hippocampal networks also map moments in …

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 …

Statistical learning research: A critical review and possible new directions.

R Frost, BC Armstrong, MH Christiansen - Psychological Bulletin, 2019 - psycnet.apa.org
Statistical learning (SL) is involved in a wide range of basic and higher-order cognitive
functions and is taken to be an important building block of virtually all current theories of …

[PDF][PDF] How can hearing loss cause dementia?

TD Griffiths, M Lad, S Kumar, E Holmes, B McMurray… - Neuron, 2020 - cell.com
Epidemiological studies identify midlife hearing loss as an independent risk factor for
dementia, estimated to account for 9% of cases. We evaluate candidate brain bases for this …

The successor representation in human reinforcement learning

I Momennejad, EM Russek, JH Cheong… - Nature human …, 2017 - nature.com
Theories of reward learning in neuroscience have focused on two families of algorithms
thought to capture deliberative versus habitual choice.'Model-based'algorithms compute the …

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 …

How does the brain learn environmental structure? Ten core principles for understanding the neurocognitive mechanisms of statistical learning

CM Conway - Neuroscience & Biobehavioral Reviews, 2020 - Elsevier
Despite a growing body of research devoted to the study of how humans encode
environmental patterns, there is still no clear consensus about the nature of the …

Expectation in perceptual decision making: neural and computational mechanisms

C Summerfield, FP De Lange - Nature Reviews Neuroscience, 2014 - nature.com
Sensory signals are highly structured in both space and time. These structural regularities in
visual information allow expectations to form about future stimulation, thereby facilitating …

Domain generality versus modality specificity: The paradox of statistical learning

R Frost, BC Armstrong, N Siegelman… - Trends in cognitive …, 2015 - cell.com
Statistical learning (SL) is typically considered to be a domain-general mechanism by which
cognitive systems discover the underlying distributional properties of the input. However …

[HTML][HTML] Semantic memory and the hippocampus: Revisiting, reaffirming, and extending the reach of their critical relationship

MC Duff, NV Covington, C Hilverman… - Frontiers in human …, 2020 - frontiersin.org
Since Tulving proposed a distinction in memory between semantic and episodic memory,
considerable effort has been directed towards understanding their similar and unique …