@inbook{09ce3d0a50e04be78c5027c54ffae8c8,
title = "Live Demonstration: Image Classification Using Bio-inspired Spiking Neural Networks",
abstract = "We present a live demonstration of an image classification system using bio-inspired Spiking Neural Networks. Our network is three-layered and is trained with the images from the MNIST database, achieving an accuracy of 98.06%. Synapses connecting the output layer neurons obey the spike based weight-adaptation rule using the supervised learning algorithm called NormAD. This network, implemented on a graphical processing unit (GPU), is used to classify digits drawn by users on a touch-screen interface in real-time. The spike propagation maps generated and displayed by the platform reveal key insights about information processing mechanisms of the brain.",
author = "Kulkarni, {Shruti R.} and Alexiades, {John M.} and Bipin Rajendran",
year = "2018",
month = apr,
day = "26",
doi = "10.1109/ISCAS.2018.8351810",
language = "English",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings",
address = "United States",
note = "2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 ; Conference date: 27-05-2018 Through 30-05-2018",
}