This framework formulates the graph generation task as a probabilistic observation-inference process: using the self-learning adjacency matrix and time delayed self-attention (TDSA) methods to ...

School of Mining and Petroleum Engineering, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada ...

The company will also demonstrate its joint solution with ARES Security, combining MatrixSpace Radar’s AI collaborative sensing capabilities with ARES Security’s AVERT MPO software ...

To address these issues, we propose an Efficient Graph-Enhanced Neural Network (EGENN), which consists of an adjacency matrix generator, GNN, and projection module. Firstly, EGENN designs a spectral ...

rs-fMRI scans were collected with a 32-channel head coil using simultaneous multi-slice (SMS) echo-planar imaging (EPI) BOLD (TR/TE = 380/30 ms, FA = 40°, 21 5-mm slices, 64×64 matrix, 4x4x5 mm voxels ...

In the brain, the excitation-inhibition balance prevents abnormal synchronous behavior. However, known synaptic conductance intensity can be insufficient to account for the undesired synchronization.

Neocortical-hippocampal interactions support new episodic (event) memories, but there is conflicting evidence about the dependence of remote episodic memories on the hippocampus. In line with systems ...