Jeffrey Michael Moehlis

Title: The Innovations of Jeffrey Michael Moehlis

Introduction

Jeffrey Michael Moehlis is an accomplished inventor based in Goleta, CA (US). He has made significant contributions to the field of neuroscience through his innovative methods for neural population stimulation. His work focuses on optimizing energy use while achieving desynchronization in neural populations.

Latest Patents

Moehlis holds a patent titled "Chaotic desynchronization of neural populations with non-pulsatile inputs." This patent presents a method for finding an energy-optimal stimulus that results in a positive Lyapunov exponent, leading to desynchronization in a neural population. The method is illustrated using three different neural models. Notably, it achieves desynchronization with less energy than previously proposed methods, offering a powerful alternative to pulsatile stimuli for deep brain stimulation. Additionally, the patent includes calculations of error bounds on the optimal stimulus to ensure a minimum Lyapunov exponent.

Career Highlights

Throughout his career, Moehlis has worked with prestigious institutions, including the University of California and the Regents of the University of Minnesota. His research has significantly advanced the understanding of neural dynamics and stimulation techniques.

Collaborations

Moehlis has collaborated with notable individuals in his field, including Daniel David Wilson and Theoden Ivan Netoff. Their joint efforts have contributed to the development of innovative solutions in neuroscience.

Conclusion

Jeffrey Michael Moehlis is a pioneering inventor whose work in chaotic desynchronization of neural populations has the potential to transform deep brain stimulation techniques. His contributions reflect a commitment to advancing neuroscience through innovative and energy-efficient methods.