Exploring neuromorphic computing based on spiking neural networks: Algorithms to hardware
Neuromorphic Computing, a concept pioneered in the late 1980s, is receiving a lot of
attention lately due to its promise of reducing the computational energy, latency, as well as …
attention lately due to its promise of reducing the computational energy, latency, as well as …
Neuro-inspired computing with emerging nonvolatile memorys
S Yu - Proceedings of the IEEE, 2018 - ieeexplore.ieee.org
This comprehensive review summarizes state of the art, challenges, and prospects of the
neuro-inspired computing with emerging nonvolatile memory devices. First, we discuss the …
neuro-inspired computing with emerging nonvolatile memory devices. First, we discuss the …
Neuromorphic computing using non-volatile memory
Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path
for implementing massively-parallel and highly energy-efficient neuromorphic computing …
for implementing massively-parallel and highly energy-efficient neuromorphic computing …
A scalable multicore architecture with heterogeneous memory structures for dynamic neuromorphic asynchronous processors (DYNAPs)
Neuromorphic computing systems comprise networks of neurons that use asynchronous
events for both computation and communication. This type of representation offers several …
events for both computation and communication. This type of representation offers several …
Experimental demonstration and tolerancing of a large-scale neural network (165 000 synapses) using phase-change memory as the synaptic weight element
Using two phase-change memory devices per synapse, a three-layer perceptron network
with 164 885 synapses is trained on a subset (5000 examples) of the MNIST database of …
with 164 885 synapses is trained on a subset (5000 examples) of the MNIST database of …
Memory and information processing in neuromorphic systems
G Indiveri, SC Liu - Proceedings of the IEEE, 2015 - ieeexplore.ieee.org
A striking difference between brain-inspired neuromorphic processors and current von
Neumann processor architectures is the way in which memory and processing is organized …
Neumann processor architectures is the way in which memory and processing is organized …
Synaptic electronics: materials, devices and applications
In this paper, the recent progress of synaptic electronics is reviewed. The basics of biological
synaptic plasticity and learning are described. The material properties and electrical …
synaptic plasticity and learning are described. The material properties and electrical …
Artificial synapses with short-and long-term memory for spiking neural networks based on renewable materials
Y Park, JS Lee - Acs Nano, 2017 - ACS Publications
Emulation of biological synapses that perform memory and learning functions is an essential
step toward realization of bioinspired neuromorphic systems. Artificial synaptic devices have …
step toward realization of bioinspired neuromorphic systems. Artificial synaptic devices have …
Recent progress in phase-change memory technology
GW Burr, MJ Brightsky, A Sebastian… - IEEE Journal on …, 2016 - ieeexplore.ieee.org
We survey progress in the PCM field over the past five years, ranging from large-scale PCM
demonstrations to materials improvements for high–temperature retention and faster …
demonstrations to materials improvements for high–temperature retention and faster …
Pattern recognition using carbon nanotube synaptic transistors with an adjustable weight update protocol
Recent electronic applications require an efficient computing system that can perform data
processing with limited energy consumption. Inspired by the massive parallelism of the …
processing with limited energy consumption. Inspired by the massive parallelism of the …