research
∙
12/11/2019
A recipe for creating ideal hybrid memristive-CMOS neuromorphic computing systems
The development of memristive device technologies has reached a level of...
share
research
∙
11/13/2019
Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor
Accurate detection of pathological conditions in human subjects can be a...
research
∙
10/17/2019
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance targeting Neuromorphic Processors
The Lobula Giant Movement Detector (LGMD) is an identified neuron of the...
research
∙
09/04/2019
Mapping Spiking Neural Networks to Neuromorphic Hardware
Neuromorphic hardware platforms implement biological neurons and synapse...
research
∙
08/18/2019
A bi-directional Address-Event transceiver block for low-latency inter-chip communication in neuromorphic systems
Neuromorphic systems typically use the Address-Event Representation (AER...
research
∙
05/25/2019
A neuromorphic boost to RNNs using low pass filters
The increasing difficulty with Moore's law scaling and the remarkable su...
research
∙
03/11/2019
A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation
The increasing need for intelligent sensors in a wide range of everyday ...
research
∙
02/26/2019
The importance of space and time in neuromorphic cognitive agents
Artificial neural networks and computational neuroscience models have ma...
research
∙
05/23/2018
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain
Neuromorphic engineering (NE) encompasses a diverse range of approaches ...
research
∙
08/14/2017
A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)
Neuromorphic computing systems comprise networks of neurons that use asy...
research
∙
04/17/2017
Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance
The Lobula Giant Movement Detector (LGMD) is a an identified neuron of t...
research
∙
11/02/2016
Deep counter networks for asynchronous event-based processing
Despite their advantages in terms of computational resources, latency, a...
research
∙
06/23/2016
Precise deep neural network computation on imprecise low-power analog hardware
There is an urgent need for compact, fast, and power-efficient hardware ...
research
∙
12/09/2015
Stochastic Interpretation of Quasi-periodic Event-based Systems
Many networks used in machine learning and as models of biological neura...
research
∙
11/02/2015
Spiking Analog VLSI Neuron Assemblies as Constraint Satisfaction Problem Solvers
Solving constraint satisfaction problems (CSPs) is a notoriously expensi...
research
∙
06/10/2015
Memory and information processing in neuromorphic systems
A striking difference between brain-inspired neuromorphic processors and...
research
∙
04/22/2015
