RASAMUEL , Marino

As Artificial Neural Networks (ANNs) continue to advance in fields like machine learning, robotics, autonomous vehicles, and healthcare diagnostics, an application domain is gaining attraction in both academic and industrial sectors : Neurobiohybridization. This domain seeks to establish connections between artificial and biological neurons...

Conception of robotic agents for applications such as object detection and trackingoften uses vision as sensor. A large amount of data has to be processed to extractrelevant information while the agent must ensure its task in real and dynamicenvironment. First, the use of smart vision sensor offers a means to reduce processing of the visual...

Machine learning has recently taken the leading role in machine vision through deep learning algorithms. It has brought the best results in object detection, recognition and tracking. Nevertheless, these systems are computationally expensive since they need to process the whole images from the camera for producing such results. Consequently,...

In this paper, we present the synchronous approach as a new method for modeling neural architectures. The synchronous approach is initially used to design controllers for reactive real-time systems, and we explain how it fits well to our objective to design bio-inspired neuromorphic circuits for biohybrid experiments. We describe synchronous...