This important work substantially advances our understanding of episodic memory by proposing a biologically plausible mechanism through which hippocampal barcode activity enables efficient memory ...

The composition of nodes that effectively transmit sinusoidal waves in a model network resembling C. elegans' electrical synapses network changes according to the waves' wavenumber.

In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal networks.

Uncovering the relationship between structure (connectivity) and function (neuronal activity) is a fundamental question ...

National Cancer Institute researchers have developed a method called HORNET for characterizing 3D topological structures of large and flexible RNA molecules. Scientists used atomic force microscopy ...

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like "the" or "it"), whereas larger words may be represented by ...

Abstract: Heterogeneous Graph Neural Networks (HGNNs) have attracted significant research attention in recent years due to their ability to capture complex interactions among various node types in ...

But Threads isn’t Twitter, and it’s never going to be. Twitter was never the biggest or most successful social network — far from it — but Twitter was at the absolute epicenter of culture ...

To address these issues, this paper proposes a four-step fundamental-diagram-informed traffic network partitioning method. First, spatially adjacent sensors are clustered into sub-clusters. Next, the ...

In other words, games that are no longer rendered by a traditional 3D pipeline, but fully rendered by neural networks. The technology could arrive with Blackwell, a new graphics architecture that ...