The spiking neural network (SNN), as a promising brain-inspired computational model with
binary spike information transmission mechanism, rich spatially-temporal dynamics, and …

In individuals with sensory-motor impairments, missing limb functions can be restored using
neuroprosthetic devices that directly interface with the nervous system. However, restoring …

Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …

Electricity constitutes a significant part of the consumption basket of European households
and companies. Since energy products are essential components of almost all products and …

Brain-computer interface (BCI) can be used as a real-time bidirectional information gateway
between the brain and machines. In particular, rapid progress in invasive BCI, propelled by …

Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial
neural networks (ANNs), in virtue of their high biological plausibility, rich spatial-temporal …

Recent work has exposed the idea that interesting quantum-like (QL) probability laws,
including interference effects, can be manifest in classical systems. Here, we propose a …

In recent years, numerous attempts have been made to integrate sliding mode control (SMC)
and neural networks (NN) in order to leverage the advantages of both methods while …

Computational modeling has been indispensable for understanding how subcellular
neuronal features influence circuit processing. However, the role of dendritic computations …

For the next coming years, metaverse, digital twin and autonomous vehicle applications are
the leading technologies for many complex applications hitherto inaccessible such as health …