Lausanne, Switzerland

Sean Lewis Hill


Average Co-Inventor Count = 4.8

ph-index = 1


Company Filing History:


Years Active: 2015-2023

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2 patents (USPTO):Explore Patents

Title: Innovations of Sean Lewis Hill

Introduction

Sean Lewis Hill is an accomplished inventor based in Lausanne, Switzerland. He has made significant contributions to the field of neuroscience through his innovative patents. With a total of two patents to his name, Hill's work focuses on the reconstruction and simulation of neocortical microcircuitry.

Latest Patents

Hill's latest patents include "Reconstruction and simulation of neocortical microcircuitry" and "Structural to functional synaptic conversion." The first patent describes methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reconstructing and simulating neocortical microcircuitry. This method involves providing a model of neural tissue that includes different types of neural cells and dynamic synaptic interconnections. It also entails changing a parameter in the model and identifying a change in the computational state of the model responsive to that change. The second patent focuses on computer-implemented methods, software, and systems for determining functional synapses from given structural touches between cells in a neuronal circuit. This method includes determining functional synapses from predetermined synapses of connections between two cells in a neuronal circuit.

Career Highlights

Sean Lewis Hill is affiliated with the École Polytechnique Fédérale de Lausanne, where he continues to advance his research and innovations. His work has garnered attention for its potential applications in understanding neural networks and brain functionality.

Collaborations

Hill collaborates with notable colleagues such as Henry Markram and Eilif Benjamin Muller, contributing to a rich environment of research and innovation in neuroscience.

Conclusion

Sean Lewis Hill's contributions to the field of neuroscience through his patents highlight his innovative approach to understanding complex neural systems. His work continues to pave the way for advancements in the simulation and reconstruction of neural circuitry.

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