Large-scale neuromorphic spiking array processors: A quest to mimic the brain
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information
processing that are inspired by neurobiological systems, and this feature distinguishes …
processing that are inspired by neurobiological systems, and this feature distinguishes …
Memristors for energy‐efficient new computing paradigms
In this Review, memristors are examined from the frameworks of both von Neumann and
neuromorphic computing architectures. For the former, a new logic computational process …
neuromorphic computing architectures. For the former, a new logic computational process …
A survey of neuromorphic computing and neural networks in hardware
Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …
and models that contrast the pervasive von Neumann computer architecture. This …
Minitaur, an event-driven FPGA-based spiking network accelerator
Current neural networks are accumulating accolades for their performance on a variety of
real-world computational tasks including recognition, classification, regression, and …
real-world computational tasks including recognition, classification, regression, and …
NeuroFlow: a general purpose spiking neural network simulation platform using customizable processors
K Cheung, SR Schultz, W Luk - Frontiers in neuroscience, 2016 - frontiersin.org
NeuroFlow is a scalable spiking neural network simulation platform for off-the-shelf high
performance computing systems using customizable hardware processors such as Field …
performance computing systems using customizable hardware processors such as Field …
Plasticity and adaptation in neuromorphic biohybrid systems
Neuromorphic systems take inspiration from the principles of biological information
processing to form hardware platforms that enable the large-scale implementation of neural …
processing to form hardware platforms that enable the large-scale implementation of neural …
Multicasting mesh AER: A scalable assembly approach for reconfigurable neuromorphic structured AER systems. Application to ConvNets
C Zamarreño-Ramos… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
This paper presents a modular, scalable approach to assembling hierarchically structured
neuromorphic Address Event Representation (AER) systems. The method consists of …
neuromorphic Address Event Representation (AER) systems. The method consists of …
Power analysis of large-scale, real-time neural networks on SpiNNaker
Simulating large spiking neural networks is non trivial: supercomputers offer great flexibility
at the price of power and communication overheads; custom neuromorphic circuits are more …
at the price of power and communication overheads; custom neuromorphic circuits are more …
An FPGA-based massively parallel neuromorphic cortex simulator
This paper presents a massively parallel and scalable neuromorphic cortex simulator
designed for simulating large and structurally connected spiking neural networks, such as …
designed for simulating large and structurally connected spiking neural networks, such as …
A hierachical configuration system for a massively parallel neural hardware platform
Simulation of large networks of neurons is a powerful and increasingly prominent
methodology for investigate brain functions and structures. Dedicated parallel hardware is a …
methodology for investigate brain functions and structures. Dedicated parallel hardware is a …