Please use this identifier to cite or link to this item:
http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/11474
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mukhopadhyay, Anand Kumar | - |
dc.date.accessioned | 2022-07-26T09:36:48Z | - |
dc.date.available | 2022-07-26T09:36:48Z | - |
dc.date.issued | 2021-04 | - |
dc.identifier.govdoc | NB17022 | - |
dc.identifier.uri | http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/11474 | - |
dc.language.iso | en | en_US |
dc.publisher | IIT Kharagpur | en_US |
dc.subject | Neuromorphic computing | en_US |
dc.subject | Spiking neural network (SNN) | en_US |
dc.subject | Resistive cross bar network (RCN) | en_US |
dc.subject | Low power application | en_US |
dc.subject | Biomedical devices | en_US |
dc.title | Analog Spiking Neural Network for Low Power Computing Applications | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Analog Spiking Neural Network for Low Power Computing Applications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
NB17022_Abstract.pdf | 20.64 kB | Adobe PDF | View/Open | |
NB17022_Thesis.pdf Restricted Access | 4.66 MB | Adobe PDF | View/Open Request a copy |
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