The researchers found that people often summarize entire episodes of a story into single sentences, leading to the conclusion that narratives are stored in memory as tree structures. In this model, ...

Network embedding aims to learn the low-dimensional node representations for networks, which has attracted an increasing amount of attention in recent years. Most existing efforts in this field ...

Humans can remember various types of information, including facts, dates, events and even intricate narratives. Understanding ...

Activity Level and Memory: The results clearly show that speakers and addressees recalled significantly more content from ...

Deep neural network (DNN) has recently attracted tremendous attention in various fields. But the computing operation requirement and the memory bottleneck limit the energy efficiency of hardware ...

Dynamic shifts in neural coding combined with stable population subspaces enable visual areas to concurrently represent sensory inputs and working memory without mutual interference.

Dynamic shifts in neural coding combined with stable population subspaces enable visual areas to concurrently represent sensory inputs and working memory without mutual interference.

A new technical paper titled “HBM Roadmap Ver 1.7 Workshop” was published by researchers at KAIST’s TERALAB. The 371-page paper provides an overview of next-generation HBM architectures based on ...