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Published in 2018 at "Nature"
DOI: 10.1038/s41586-018-0102-6
Abstract: Deep neural networks have achieved impressive successes in fields ranging from object recognition to complex games such as Go1,2. Navigation, however, remains a substantial challenge for artificial agents, with deep neural networks trained by reinforcement…
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Keywords:
grid like;
navigation;
vector based;
like representations ... See more keywords
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Published in 2021 at "Nature neuroscience"
DOI: 10.1038/s41593-021-00916-3
Abstract: Generalizing experiences to guide decision-making in novel situations is a hallmark of flexible behavior. Cognitive maps of an environment or task can theoretically afford such flexibility, but direct evidence has proven elusive. In this study,…
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Keywords:
cortex;
grid like;
use grid;
like code ... See more keywords
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Published in 2021 at "Neuroscience of Consciousness"
DOI: 10.1093/nc/niab022
Abstract: Abstract Neuroscience has made remarkable advances in accounting for how the brain performs its various functions. Consciousness, too, is usually approached in functional terms: the goal is to understand how the brain represents information, accesses…
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Keywords:
information;
grid like;
model;
neuroscience ... See more keywords
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Published in 2022 at "Frontiers in Neural Circuits"
DOI: 10.3389/fncir.2022.924016
Abstract: Grid cells or grid-like responses have been reported in the rodent, bat and human brains during various spatial and non-spatial tasks. However, the functions of grid-like representations beyond the classical hippocampal formation remain elusive. Based…
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Keywords:
component perception;
perception cognition;
like representations;
grid like ... See more keywords