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Published in 2022 at "Autism Research"
DOI: 10.1002/aur.2804
Abstract: Timing is critical to successful social interactions. The temporal structure of dyadic vocal interactions emerges from the rhythm, timing, and frequency of each individuals' vocalizations and reflects how the dyad dynamically organizes and adapts during…
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Keywords:
hierarchical temporal;
language;
temporal structure;
vocal interactions ... See more keywords
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Published in 2020 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-020-01063-0
Abstract: Learning both hierarchical and temporal dependencies can be crucial for recurrent neural networks (RNNs) to deeply understand sequences. To this end, a unified RNN framework is required that can ease the learning of both the…
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Keywords:
learning deep;
neural networks;
hierarchical temporal;
residual learning ... See more keywords
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Published in 2017 at "IEEE Micro"
DOI: 10.1109/mm.2017.6
Abstract: While modern machine learning has made significant strides toward achieving high aptitude in various cognitive tasks, it does not provide any of the general abilities of mammalian intelligence. With a fundamentally different approach, Hierarchical Temporal…
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Keywords:
automata processor;
hierarchical temporal;
temporal memory;
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6072316
Abstract: As a human-cortex-inspired computing model, hierarchical temporal memory (HTM) has shown great promise in sequence learning and has been applied to various time-series applications. HTM uses the combination of columns and neurons to learn the…
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Keywords:
hierarchical temporal;
algorithm based;
temporal memory;
activation intensity ... See more keywords