Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...

This is an important study showing that movement vigor is not solely an individual property but emerges through interaction when two people are physically linked. The evidence is convincing, supported ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Abstract: The knapsack allocation problem in unmanned systems has been extensively studied in operations research and management science literature, and finding efficient solutions has consistently ...

Abstract: Electroencephalogram (EEG) is a widely used method for monitoring brain activity, particularly in the context of seizure detection. EEG signals typically exhibit symmetrical patterns, but ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...