464 citations · 729 across the 22 of their papers we have counts for
24 papers
2022 Roadmap on Neuromorphic Computing and Engineering
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco +56
Modern computation based on the von Neumann architecture is today a mature cutting-edge science. In the Von Neumann architecture, processing and memory units are implemented as sep…
Biologically-inspired Salience Affected Artificial Neural Network (SANN)
Leendert A Remmelzwaal, George F R Ellis, Jonathan Tapson +1
In this paper we introduce a novel Salience Affected Artificial Neural Network (SANN) that models the way neuromodulators such as dopamine and noradrenaline affect neural dynamics…
Event-based Feature Extraction Using Adaptive Selection Thresholds
Saeed Afshar, Ying Xu, Jonathan Tapson +2
Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain…
EMNIST: an extension of MNIST to handwritten letters
Gregory Cohen, Saeed Afshar, Jonathan Tapson +1
The MNIST dataset has become a standard benchmark for learning, classification and computer vision systems. Contributing to its widespread adoption are the understandable and intui…
A Stochastic Approach to STDP
Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton +2
We present a digital implementation of the Spike Timing Dependent Plasticity (STDP) learning rule. The proposed digital implementation consists of an exponential decay generator ar…
Investigation of event-based memory surfaces for high-speed tracking, unsupervised feature extraction and object recognition
Saeed Afshar, Gregory Cohen, Tara Julia Hamilton +2
In this paper we compare event-based decaying and time based-decaying memory surfaces for high-speed eventbased tracking, feature extraction, and object classification using an eve…