Robust doublet STDP in a floating-gate synapse
Learning in a neural network typically happens with the modification or plasticity of synaptic weight. Thus the plasticity rule which modifies the synaptic strength based on the timing difference between the pre- and post-synaptic spike occurrence is termed as Spike Time Dependent Plasticity (STDP)....
Main Authors: | Gopalakrishnan, Roshan, Basu, Arindam |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference Paper |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/106928 http://hdl.handle.net/10220/25141 http://dx.doi.org/10.1109/IJCNN.2014.6889631 |
Similar Items
-
On the Non-STDP Behavior and Its Remedy in a Floating-Gate Synapse
by: Gopalakrishnan, Roshan, et al.
Published: (2016) -
Triplet spike time dependent plasticity in a floating-gate synapse
by: Gopalakrishnan, Roshan, et al.
Published: (2016) -
Robust clustering algorithms
by: Yang, Xulei
Published: (2008) -
Hardware Trojan detection with linear regression based gate-level characterization
by: Zhang, Li, et al.
Published: (2015) -
Study on robust image watermarking techniques
by: Zhang, Lei
Published: (2010)