Background and objective: We have cast the net into the ocean of knowledge to retrieve the
latest scientific research on deep learning methods for physiological signals. We found 53 …

Organic electrochemical transistors (OECTs) are presently a focus of intense research and
hold great potential in expanding the horizons of the bioelectronics industry. The notable …

Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …

Responsive neurostimulation (RNS) devices, able to detect imminent seizures and to rapidly
deliver electrical stimulation to the brain, are effective in reducing seizures in some patients …

Arrays of electrodes for recording and stimulating the brain are used throughout clinical
medicine and basic neuroscience research, yet are unable to sample large areas of the …

Epilepsy has been historically seen as a functional brain disorder associated with excessive
synchronization of large neuronal populations leading to a hypersynchronous state. Recent …

Advances in materials, mechanics, and manufacturing now allow construction of high-quality
electronics and optoelectronics in forms that can readily integrate with the soft, curvilinear …

In vivo electrophysiological recordings of neuronal circuits are necessary for diagnostic
purposes and for brain-machine interfaces. Organic electronic devices constitute a …

Graph theoretical analysis of neuroimaging data is growing rapidly and could potentially
provide a relatively simple but powerful quantitative framework to describe and compare …

Techniques to study brain activities have evolved dramatically, yet tremendous challenges
remain in acquiring high-throughput electrophysiological recordings minimally invasively …