A review of spiking neuromorphic hardware communication systems
Multiple neuromorphic systems use spiking neural networks (SNNs) to perform computation
in a way that is inspired by concepts learned about the human brain. SNNs are artificial …
in a way that is inspired by concepts learned about the human brain. SNNs are artificial …
Neuromorphic spiking neural networks and their memristor-CMOS hardware implementations
LA Camuñas-Mesa, B Linares-Barranco… - Materials, 2019 - mdpi.com
Inspired by biology, neuromorphic systems have been trying to emulate the human brain for
decades, taking advantage of its massive parallelism and sparse information coding …
decades, taking advantage of its massive parallelism and sparse information coding …
Neurogrid: A mixed-analog-digital multichip system for large-scale neural simulations
BV Benjamin, P Gao, E McQuinn… - Proceedings of the …, 2014 - ieeexplore.ieee.org
In this paper, we describe the design of Neurogrid, a neuromorphic system for simulating
large-scale neural models in real time. Neuromorphic systems realize the function of …
large-scale neural models in real time. Neuromorphic systems realize the function of …
The building blocks of a brain-inspired computer
JD Kendall, S Kumar - Applied Physics Reviews, 2020 - pubs.aip.org
Computers have undergone tremendous improvements in performance over the last 60
years, but those improvements have significantly slowed down over the last decade, owing …
years, but those improvements have significantly slowed down over the last decade, owing …
Neuromorphic electronic circuits for building autonomous cognitive systems
Several analog and digital brain-inspired electronic systems have been recently proposed
as dedicated solutions for fast simulations of spiking neural networks. While these …
as dedicated solutions for fast simulations of spiking neural networks. While these …
Hierarchical address event routing for reconfigurable large-scale neuromorphic systems
We present a hierarchical address-event routing (HiAER) architecture for scalable
communication of neural and synaptic spike events between neuromorphic processors …
communication of neural and synaptic spike events between neuromorphic processors …
Spike-based synaptic plasticity in silicon: design, implementation, application, and challenges
The ability to carry out signal processing, classification, recognition, and computation in
artificial spiking neural networks (SNNs) is mediated by their synapses. In particular, through …
artificial spiking neural networks (SNNs) is mediated by their synapses. In particular, through …
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 …
An event-based neural network architecture with an asynchronous programmable synaptic memory
S Moradi, G Indiveri - IEEE transactions on biomedical circuits …, 2013 - ieeexplore.ieee.org
We present a hybrid analog/digital very large scale integration (VLSI) implementation of a
spiking neural network with programmable synaptic weights. The synaptic weight values are …
spiking neural network with programmable synaptic weights. The synaptic weight values are …
A multicast tree router for multichip neuromorphic systems
We present a tree router for multichip systems that guarantees deadlock-free multicast
packet routing without dropping packets or restricting their length. Multicast routing is …
packet routing without dropping packets or restricting their length. Multicast routing is …