Supervised learning in multilayer spiking neural network
Spiking Neural Networks (SNNs) are an exciting prospect in the field of Artificial Neural Networks (ANNs). We try to replicate the massive interconnection of neurons, the computational units, evident in brain to perform useful task in ANNs, albeit with highly abstracted model of neurons. Mostly the...
Main Author: | Shrestha, Sumit Bam |
---|---|
Other Authors: | Song Qing |
Format: | Thesis |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/72144 |
Similar Items
-
Learning spike time codes through supervised and unsupervised structural plasticity
by: Roy, Subhrajit
Published: (2016) -
Multilayer random vector functional link neural networks
by: Lin, Xiang
Published: (2018) -
Spiking neural network for hand-written digits classification
by: Huang, Jingyao
Published: (2018) -
Feasibility study of spiking neural network for voice classification
by: Zhang, Zhongyi
Published: (2019) -
Computation in spiking neural networks
by: Koh, Lynn.
Published: (2012)