597 citations · 4.3k across the 121 of their papers we have counts for
4 papers · 2 filters
Proposal for a Leaky-Integrate-Fire Spiking Neuron based on Magneto-Electric Switching of Ferro-magnets
Akhilesh Jaiswal, Sourjya Roy, Gopalakrishnan Srinivasan +1
The efficiency of the human brain in performing classification tasks has attracted considerable research interest in brain-inspired neuromorphic computing. Hardware implementations…
Multiplier-less Artificial Neurons Exploiting Error Resiliency for Energy-Efficient Neural Computing
Syed Shakib Sarwar, Swagath Venkataramani, Anand Raghunathan +1
Large-scale artificial neural networks have shown significant promise in addressing a wide range of classification and recognition applications. However, their large computational…
Significance Driven Hybrid 8T-6T SRAM for Energy-Efficient Synaptic Storage in Artificial Neural Networks
Gopalakrishnan Srinivasan, Parami Wijesinghe, Syed Shakib Sarwar +2
Multilayered artificial neural networks (ANN) have found widespread utility in classification and recognition applications. The scale and complexity of such networks together with…
Unsupervised Regenerative Learning of Hierarchical Features in Spiking Deep Networks for Object Recognition
Priyadarshini Panda, Kaushik Roy
We present a spike-based unsupervised regenerative learning scheme to train Spiking Deep Networks (SpikeCNN) for object recognition problems using biologically realistic leaky inte…