The technology for transcranial magnetic stimulation (TMS) has significantly changed over
the years, with important improvements in the signal generators, the coils, the positioning …

Neurostimulation technologies have seen a recent surge in interest from the neuroscience
and controls communities alike due to their proven potential to treat conditions such as …

Deep learning-based models such as deep neural network (DNN) and convolutional neural
network (CNN) have recently been established as state-of-the-art for enumerating electric …

Deep-brain Magnetic Stimulation (DMS) can improve the symptoms caused by Alzheimer's
disease by inducing rhythmic electric field in the deep brain, and the induced electric field is …

Temporal interference deep-brain magnetic stimulation (TI-DMS) induces rhythmic electric
field (EF) in the hippocampus to normalize cognitive function. The rhythmic time series of the …

Transcranial magnetic stimulation is an electromagnetic induction-based non-invasive
therapeutic technique for neurological diseases. For finding new clinical applications and …

As a non-invasive neuromodulation technique, transcranial magnetic stimulation (TMS) has
shown great potential in scientific research and clinical application. Using TMS to stimulate …

Transcranial magnetic stimulation (TMS) is a widely used non-invasive neurostimulation
technique in neuroscience and in the treatment of psychiatric disorders. By placing a TMS …

Neural networks have better classification and memory capabilities, so the corresponding
learning algorithms have become the focus of research. The purpose of this paper is to …