89 citations · 445 across the 19 of their papers we have counts for
6 papers · 1 filter
ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration
Arren Glover, Alan B. Stokes, Steve Furber +1
The Asynchronous Time-based Image Sensor (ATIS) and the Spiking Neural Network Architecture (SpiNNaker) are both neuromorphic technologies that "unconventionally" use binary spikes…
SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning
Christian Mayr, Sebastian Hoeppner, Steve Furber
SpiNNaker is an ARM-based processor platform optimized for the simulation of spiking neural networks. This brief describes the roadmap in going from the current SPINNaker1 system,…
Real-Time Cortical Simulation on Neuromorphic Hardware
Oliver Rhodes, Luca Peres, Andrew G. D. Rowley +4
Real-time simulation of a large-scale biologically representative spiking neural network is presented, through the use of a heterogeneous parallelisation scheme and SpiNNaker neuro…
Stochastic rounding and reduced-precision fixed-point arithmetic for solving neural ordinary differential equations
Michael Hopkins, Mantas Mikaitis, Dave R. Lester +1
Although double-precision floating-point arithmetic currently dominates high-performance computing, there is increasing interest in smaller and simpler arithmetic types. The main r…
Dynamic Power Management for Neuromorphic Many-Core Systems
Sebastian Hoeppner, Bernhard Vogginger, Yexin Yan +12
This work presents a dynamic power management architecture for neuromorphic many core systems such as SpiNNaker. A fast dynamic voltage and frequency scaling (DVFS) technique is pr…
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype
Yexin Yan, David Kappel, Felix Neumaerker +7
Advances in neuroscience uncover the mechanisms employed by the brain to efficiently solve complex learning tasks with very limited resources. However, the efficiency is often lost…