Existing three-dimensional (3D) neuronal culture technology has limitations in brain research due to the difficulty of ...

We have been stuck in using neural network models to achieve radar target recognition for so many years. I just want to be back to the 90s and 00s, when people could also achieve complex tasks with a ...

This paper proposes an algorithm for feature extraction and classification for a Steady State Visual Evoked Potentials-based Brain-Computer Interface to control a device using four commands. An energy ...

In recent years neural computing has emerged as a practical technology, with successful applications in many fields. The majority of these applications are concerned with problems in pattern ...

“Training high-performance low-latency spiking neural networks by differentiation on spike representation,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ...

Keywords: oscillatory neural networks, on-chip learning, unsupervised learning, pattern recognition, FPGA implementation Citation: Abernot M, Azemard N and Todri-Sanial A (2023) Oscillatory neural ...

One of the critical issues in hospitals is the injury from falling out of patient bed. Some of these cases lead to death. Considering this type of incident, a monitoring and alarming system called ...

S. Theodoridis and K. Koutroumbas, “An Introduction to Pattern Recognition A MATLAB Approach,” Elsevier, Burlington, 2010.