Research Support Investigator
Dídac Llobet Muñoz
Degree in Electronic and Telecommunications Engineering
Design and simulation of biologically inspired hardware-based neurons and neural networks
Design and simulation of biologically inspired hardware-based neurons and neural networks
Description
This project addresses the critical challenge of energy consumption in the technology sector, an issue that has taken on significant relevance and is expected to increase with the expansion of artificial intelligence and Internet of Things (IoT) devices. Given the limitations of conventional computing architectures, the work proposes a paradigm shift by implementing bioinspired neuromorphic computing systems capable of processing information in an alternative way. The methodology focuses on the design of artificial spiking neurons integrated directly into hardware, using memristors as synapses to emulate highly efficient neuronal behavior. As a proof of concept and validation of the architecture, a neural network based on these neurons has been implemented to perform complex image recognition tasks, offering a scalable and efficient solution for future data processing needs.
Host Organization
Supervisors
Antonio Rubio
UPC Supervisor
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