28 citations · 58 across the 7 of their papers we have counts for
7 papers
Frameworks for SNNs: a Review of Data Science-oriented Software and an Expansion of SpykeTorch
Davide Liberato Manna, Alex Vicente-Sola, Paul Kirkland +2
Developing effective learning systems for Machine Learning (ML) applications in the Neuromorphic (NM) field requires extensive experimentation and simulation. Software frameworks a…
Spiking Neural Networks for event-based action recognition: A new task to understand their advantage
Alex Vicente-Sola, Davide L. Manna, Paul Kirkland +2
Spiking Neural Networks (SNN) are characterised by their unique temporal dynamics, but the properties and advantages of such computations are still not well understood. In order to…
Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario
Davide Liberato Manna, Alex Vicente Sola, Paul Kirkland +2
Spiking neural networks (SNNs) are largely inspired by biology and neuroscience and leverage ideas and theories to create fast and efficient learning systems. Spiking neuron models…
Unsupervised Spiking Instance Segmentation on Event Data using STDP
Paul Kirkland, Davide L. Manna, Alex Vicente-Sola +1
Spiking Neural Networks (SNN) and the field of Neuromorphic Engineering has brought about a paradigm shift in how to approach Machine Learning (ML) and Computer Vision (CV) problem…
Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks
Alex Vicente-Sola, Davide L. Manna, Paul Kirkland +2
Spiking neural networks (SNNs) have become an interesting alternative to conventional artificial neural networks (ANN) thanks to their temporal processing capabilities and energy e…
Ultrafast Neuromorphic Photonic Image Processing with a VCSEL Neuron
Joshua Robertson, Paul Kirkland, Juan Arturo Alanis +4
The ever-increasing demand for Artificial Intelligence (AI) systems is underlining a significant requirement for new, AI-optimised hardware. Neuromorphic (brain-like) processors ar…
UAV Detection: A STDP trained Deep Convolutional Spiking Neural Network Retina-Neuromorphic Approach
Paul Kirkland
The Dynamic Vision Sensor (DVS) has many attributes that allow it to be well suited to the task for UAV Detection. This paper is the first to look at exploiting the features of an…