Nyon, Switzerland

Michael Wolfgang Reimann

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 12(Granted Patents)


Location History:

  • Ecublens, CH (2015)
  • Nyon, CH (2023)

Company Filing History:


Years Active: 2015-2023

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2 patents (USPTO):Explore Patents

Title: Michael Wolfgang Reimann: Innovator in Functional Networks

Introduction

Michael Wolfgang Reimann is a notable inventor based in Nyon, Switzerland. He has made significant contributions to the field of network analysis and neuronal circuits. With two patents to his name, Reimann's work focuses on generating and identifying functional subnetworks within structural networks.

Latest Patents

Reimann's latest patents include "Generating and identifying functional subnetworks within structural networks." This method involves generating a functional subgraph of a network from a structural graph, which comprises a set of vertices and structural connections. The process includes identifying a directed functional edge based on the presence of structural connections and the directional communication of information across these connections. Another patent, "Structural to functional synaptic conversion," describes computer-implemented methods for determining functional synapses from structural touches between cells in a neuronal circuit. This method includes determining functional synapses by leaving a portion of the connections unused for activation by plasticity mechanisms.

Career Highlights

Reimann is affiliated with the École Polytechnique Fédérale de Lausanne, where he continues to advance his research in network structures and neuronal functions. His innovative approaches have garnered attention in the scientific community.

Collaborations

Some of his notable coworkers include Henry Markram and Max Christian Nolte, who have also contributed to advancements in the field of neuroscience and network analysis.

Conclusion

Michael Wolfgang Reimann's work exemplifies the intersection of structural and functional analysis in networks, showcasing his innovative spirit and dedication to advancing scientific knowledge.

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