Abstract Machine learning leverages statistical and computer science principles to develop
algorithms capable of improving performance through interpretation of data rather than …

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 …

Planning surgery for patients with medically refractory epilepsy often requires recording
seizures using intracranial EEG. Quantitative measures derived from interictal intracranial …

Patients with drug-resistant epilepsy often require surgery to become seizure-free. While
laser ablation and implantable stimulation devices have lowered the morbidity of these …

The location of interictal spikes is used to aid surgical planning in patients with medically
refractory epilepsy; however, their spatial and temporal dynamics are poorly understood. In …

The unpredictability of epileptic seizures is one of the most problematic aspects of the field of
epilepsy. Methods or devices capable of detecting seizures minutes before they occur may …

How does the human brain's structural scaffold give rise to its intricate functional dynamics?
This is a central question in translational neuroscience that is particularly relevant to …

The sweetpotato whitefly Bemisia tabaci is a highly destructive agricultural and ornamental
crop pest. It damages host plants through both phloem feeding and vectoring plant …

Brain maps, or atlases, are essential tools for studying brain function and organization. The
abundance of available atlases used across the neuroscience literature, however, creates …

Artificial intelligence (AI) allows data analysis and integration at an unprecedented
granularity and scale. Here we review the technological advances, challenges, and future …