On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments

no code implementations • 20 Jul 2023 • Shruti R. Kulkarni, Aaron Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean

We present our insights on the various system design choices - from data encoding to optimal hyperparameters of the training algorithm - for an accurate and compact SNN optimized for hardware deployment.

Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks

no code implementations • 9 Nov 2017 • Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran

On the standard MNIST database images of handwritten digits, our network achieves an accuracy of 99. 80% on the training set and 98. 06% on the test set, with nearly 7x fewer parameters compared to the state-of-the-art spiking networks.

General Classification