Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Conversations allow humans to communicate their thoughts, feelings and ideas to others. This in turn enables them to learn ...

Scientists have discovered that forming a mental map of a new environment takes more than just recognizing individual ...

All the latest science news on neural network from Phys.org. Find the latest news, advancements, and breakthroughs.

Netsh, (short for Network Shell) is also a command-line utility, but along with the one-shot commands, it provides an interactive interface, allowing you to enter commands specific to the Network ...

Differential neural networks (DiNNs) encounter a trade-off between the approximation quality and structural complexity. One promising approach to address this trade-off is incorporating dynamic ...

The proposed method first converts the level sets corresponding to the micro-Doppler signature into contour point clouds using the MATLAB embedded contour () function. Secondly, the point cloud and ...

Detailed anatomical labeling of bronchial trees extracted from CT images can be used as fine-grained maps for intra-operative navigation. To cater to the sparse distribution of airway voxels and large ...

PowerPoint Presentation by the Director, Division of Strategic Planning and Results: Review of the budget structure and management efficiencies - 93rd meeting of the Standing Committee ...

Flexible pressure sensors have become a research hotspot in human–computer interaction and material recognition due to their flexibility and high sensitivity. However, the identified information ...