SS08: Spiking Neuron Networks: Applications and Algorithms
Elisa Guerrero Vázquez
Fernando M. Quintana Velázquez
Universidad de Cádiz, Spain
Abstract
Spiking Neuron Networks (SNNs) and Neuromorphic Systems are often referred to as the third
generation of neural networks. Highly inspired from natural computing in the brain and recent advances in neurosciences, they derive their strength and interest from an accurate modelling of synaptic interactions between neurons, taking into account the time of spike firing. SNNs overcome the computational power of neural networks made of threshold or sigmoidal units. Based on dynamic event-driven processing, they open up new horizons for developing models with an exponential capacity of memorizing and a strong ability to fast adaptation. As they are mimicking real neurons behaviour, they allow a massively parallel, low power calculation, which is highly suitable for embedded computation.
This special session aims at approaching this paradigm to all the IWANN community, to share visions on the intersection between classical neural networks, deep learning and neuromorphic computation. Topics of interest include but are not limited to:
- Deep SNN
- SNN computational models
- Online and Local learning
- Neuromorphic systems design
- Computer Vision and SNN
- Other emerging applications
Organizers
Dr. Elisa Guerrero Vázquez, is an Associate Professor at the University of Cádiz (UCA), in the Department of Computer Engineering (DCE), and in the TIC-145 Research Group: Intelligent Computing Systems. The main areas of research focus on the areas of Machine Learning, Model Selection and Computer Vision, maintaining a highly relevant multidisciplinary collaboration in the field of Nanotechnology, which has provided greater experience and a great diversity of high-quality work with scientific impact. Currently she supervises (IP) Spanish national research project NEMOVISION: Sistemas Neuromórficos para Visión Artificial.
Fernando M. Quintana Velázquez is a PhD student at the University of Cádiz (UCA). In 2019 he got a 4- years fellowship from the Spanish ministry of Science, Innovation and Universities. He is currently doing a stay at the Institute of NeuroInformatics (INI), University of Zurich and ETH Zurich, Switzerland. His main areas of research focus on Neuromophic systems, Spiking Neural Networks, Meta-learning and Local online learning.