Emerging memristive artificial neuron and synapse devices for the neuromorphic electronics era
Growth of data eases the way to access the world but consumes increasing energy to store and process. Neuromorphic electronics emerged in the last decade, inspired by biological neuron and synapses, with in-memory computing ability, extenuates the ‘von Neumann bottleneck’ between memory and processo...
Saved in:
Main Authors: | Li, Jiayi, Abbas, Haider, Ang, Diing Shenp, Ali, Asif, Ju, Xin |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/169872 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Simulation of neural networks for neuromorphic chip with crossbar array of RRAM synapses
by: Sreejith Kumar Ashish Jith
Published: (2019) -
Design of Artificial Spiking Neuron with SiO2 Memristive Synapse to Demonstrate Neuron-Level Spike Timing Dependent Plasticity
by: NIU XUHUA, et al.
Published: (2021) -
Halide perovskite memristors as artificial synapses
by: Neoh, Eng Tiong
Published: (2022) -
Conductive Bridge Random Access Memory (CBRAM): challenges and opportunities for memory and neuromorphic computing applications
by: Abbas, Haider, et al.
Published: (2022) -
Mediating short-term plasticity in an artificial memristive synapse by the orientation of silica mesopores
by: Li, Bin, et al.
Published: (2020)