TY - JOUR
T1 - Representation and computation in visual working memory
AU - Bays, Paul M.
AU - Schneegans, Sebastian
AU - Ma, Wei Ji
AU - Brady, Timothy F.
N1 - Publisher Copyright:
© Springer Nature Limited 2024.
PY - 2024/6
Y1 - 2024/6
N2 - The ability to sustain internal representations of the sensory environment beyond immediate perception is a fundamental requirement of cognitive processing. In recent years, debates regarding the capacity and fidelity of the working memory (WM) system have advanced our understanding of the nature of these representations. In particular, there is growing recognition that WM representations are not merely imperfect copies of a perceived object or event. New experimental tools have revealed that observers possess richer information about the uncertainty in their memories and take advantage of environmental regularities to use limited memory resources optimally. Meanwhile, computational models of visuospatial WM formulated at different levels of implementation have converged on common principles relating capacity to variability and uncertainty. Here we review recent research on human WM from a computational perspective, including the neural mechanisms that support it.
AB - The ability to sustain internal representations of the sensory environment beyond immediate perception is a fundamental requirement of cognitive processing. In recent years, debates regarding the capacity and fidelity of the working memory (WM) system have advanced our understanding of the nature of these representations. In particular, there is growing recognition that WM representations are not merely imperfect copies of a perceived object or event. New experimental tools have revealed that observers possess richer information about the uncertainty in their memories and take advantage of environmental regularities to use limited memory resources optimally. Meanwhile, computational models of visuospatial WM formulated at different levels of implementation have converged on common principles relating capacity to variability and uncertainty. Here we review recent research on human WM from a computational perspective, including the neural mechanisms that support it.
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U2 - 10.1038/s41562-024-01871-2
DO - 10.1038/s41562-024-01871-2
M3 - Article
C2 - 38849647
AN - SCOPUS:85195404996
SN - 2397-3374
VL - 8
SP - 1016
EP - 1034
JO - Nature human behaviour
JF - Nature human behaviour
IS - 6
ER -