Elaborately branching dendrites allow neurons to integrate several thousand synaptic inputs and permit complex spatial interactions ... variability of temporal summation is limited by a high ...

We begin by defining the model, and then discuss experiments that have evaluated three crucial implications of the model: that fMRI responses should show temporal summation, that the time course ...

A peak-hold-aided evaluation approach to acquire the insulation state of vehicle cable terminals via an adaptive spatial–temporal graph-gated attention network (AdaSTGGAT) is proposed in this article.

The price typically appears on the left of the graph. The quantity demanded is ... A market demand curve is the summation of the individual demand curves in a given market. It shows the quantity ...

By converting the raw data into graphs, hidden structural and topological information can be obtained. In this article, a spatial-temporal graph-based feature extraction, called SuperGraph, for ...

Here, we present stGuide, an attention-based supervised graph learning model designed for cross ... while also maintaining temporal coherence within the spatial transcriptomic landscape, thereby ...

By combining both time and spatial information, MTF can capture local details and global signal trends, providing more accurate information for ECG classification. MTF, by modeling the temporal ...