In epidemiological studies, participants' disease status is often collec...
Scoliosis is a three-dimensional deformity of the spine, most often diag...
Epidemiologic and medical studies often rely on evaluators to obtain
mea...
Despite the rapid progress of neuromorphic computing, inadequate capacit...
Despite the rapid progress of neuromorphic computing, the inadequate dep...
Although spiking neural networks (SNNs) take benefits from the bio-plaus...
Biological spiking neurons with intrinsic dynamics underlie the powerful...
Spiking neural networks (SNNs) are promising in a bio-plausible coding f...
The combination of neuroscience-oriented and computer-science-oriented
a...
Neuromorphic data, recording frameless spike events, have attracted
cons...
Recently, backpropagation through time inspired learning algorithms are
...
Pooling biomarker data across multiple studies enables researchers to ge...
Spiking neural network is an important family of models to emulate the b...
Spiking neural networks (SNNs) are gaining more attention as a promising...
Compared with artificial neural networks (ANNs), spiking neural networks...