2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.ET2018
A case for multiple and parallel RRAMs as synaptic model for training SNNs
Aditya Shukla, Sidharth Prasad, Sandip Lashkare +1
To enable a dense integration of model synapses in a spiking neural networks hardware, various nano-scale devices are being considered. Such a device, besides exhibiting spike-time…
cs.NE2016★ 2 cited
A simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation
Anmol Biswas, Sidharth Prasad, Sandip Lashkare +1
Spiking Neural Networks (SNN) are more closely related to brain-like computation and inspire hardware implementation. This is enabled by small networks that give high performance o…