John Osborn
Research is directed towards gaining an integrative understanding of the role of the central nervous system in the long-term regulation of arterial pressure and the pathogenesis of hypertension.
Research is directed towards gaining an integrative understanding of the role of the central nervous system in the long-term regulation of arterial pressure and the pathogenesis of hypertension.
Research in neurophysiology and the use of calcium imaging and electrophysiological techniques to examine the functional characteristics of stem cells in vitro as they differentiate into cells of various tissue types.
Research is focused on translating neuroscience developments from the laboratory to the clinic. Research is involved in a number of technologies that include neural progenitor/stem cell therapies, gene therapies, neuroprotective therapies, and medical devices for treating a variety of neurological conditions.
Digital and mixed-signal circuit design, circuit reliability, radiation effects, time-based circuits, spintronic circuits, hardware security, novel computing, machine learning hardware
Research is based on emerging brain interface technologies and implantable neuroelectronics. We believe neuro-AI chips, in the future, will be able to read and understand the human thoughts—tiny devices that bridge the mind and the world. Over the past seven years, we have been focusing on neural recording, processing, and stimulation chips, from technology development to animal experiments, and recently human clinical trials.
Researches on improving non-invasive brain stimulation (NIBS) technologies based on electromagnetic fields. Computational models to estimate the electric field distribution during transcranial magnetic (TMS), transcranial electric (TES) stimulation are integrated with neuronavigation systems to improve targeting approaches of specific brain circuits.
The NeuralNetoff lab is developing novel approaches for optimizing electrical stimulation to maximize outcomes for each patient. Our lab tests therapies and optimization algorithms in computational models and animal models. We also have a large translational component, testing these algorithms in humans with our clinical collaborators.
Jian-Ping Wang and Dr. Kendall Lee have received one of the five grants selected by the Minnesota Partnership for Biotechnology and Medical Genomics.