Stephane Loiselle

Title: The Innovative Mind of Stephane Loiselle

Introduction

Stephane Loiselle is a notable inventor based in Chicoutimi, Canada. He has made significant contributions to the field of neural networks, particularly through his innovative patent. His work exemplifies the intersection of technology and applied research, showcasing his dedication to advancing scientific knowledge.

Latest Patents

Stephane Loiselle holds a patent titled "Spatio-temporal pattern recognition using a spiking neural network and processing thereof on a portable and/or distributed computer." This invention involves a spiking neural network that consists of a layer of connected neurons that exchange signals. Each neuron is linked to at least one other neuron, and a neuron is considered active if it spikes at least once during a specified time interval. The patent details the computation of time-varying synaptic weights between neurons based on the number of active neurons connected to them and the overall activity of the spiking neural network during the time interval. The synchronization of neuron spiking is influenced by the number of active connections and the computed weights. A pattern is submitted to the network to generate sequences of spikes, which are modulated over time by spiking synchronization. The generated sequences characterize the submitted pattern.

Career Highlights

Stephane Loiselle is associated with the Société de Commercialisation des Produits de la Recherche Appliquée (Socpra Sciences et Génie S.E.C.). His role in this organization allows him to contribute to applied research and innovation in the field of technology. His work has garnered attention for its potential applications in various industries.

Collaborations

Stephane has collaborated with notable colleagues, including Jean Rouat and Ramin Pichevar. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Stephane Loiselle's contributions to the field of spiking neural networks highlight his innovative spirit and commitment to advancing technology. His patent reflects a significant step forward in pattern recognition and neural network processing. His work continues to inspire future innovations in the field.