Nicolelis Receives Nokia Bell Labs' Shannon Luminary Award

Sunday, March 24, 2019
By Jennifer Kornbluth
Miguel Nicolelis

Miguel Nicolelis accepted the Shannon Luminary Award and delivered a Shannon Luminary Lecture at Nokia Bell Labs on March 21st. This lecture series is composed of speakers who are inspirational leaders in a wide diversity of fields and allows them to share their perspective on the most important technologies, science, engineering, mathematics – and even more aesthetic matters – that will transform human existence in the next decades.

Dr. Nicolelis has dedicated his career to investigate how the brains of freely behaving animals encode sensory and motor information. As a result of his studies, Dr. Nicolelis was first to propose and demonstrate that animals and human subjects can utilize their electrical brain activity to directly control neuroprosthetic devices via brain-machine interfaces (BMI).

Over the past 25 years, Dr. Nicolelis pioneered and perfected the development of a new neurophysiological method, known today as chronic, multi-site, multi-electrode recordings. Using this approach in a variety of animal species, as well as in intra-operative procedures in human patients, Dr. Nicolelis launched a new field of investigation, which aims at measuring the concurrent activity and interactions of large populations of single neurons throughout the brain. Through his work, Dr. Nicolelis has discovered a series of key physiological principles that govern the operation of mammalian brain circuits.

Dr. Nicolelis pioneering BMI studies have become extremely influential since they offer new potential therapies for patients suffering from severe levels of paralysis, Parkinson’s disease, and epilepsy. Today, numerous neuroscience laboratories in the US, Europe, Asia, and Latin America have incorporated Dr. Nicolelis' experimental paradigm to study a variety of mammalian neuronal systems. His research has influenced basic and applied research in computer science, robotics, and biomedical engineering.