Srinivasan, Gopalakrishnan

1. RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
   2020/02/25 by Bing Han, Han, Bing, Gopalakrishnan Srinivasan +3 · 13 citations
   Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #Ferroelectric and Negative Capacitance Devices
2. Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
   2020/05/04 by Rathi, Nitin, Srinivasan, Gopalakrishnan, Panda, Priyadarshini +1 · 3 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing
   2019/02/11 by Srinivasan, Gopalakrishnan, Roy, Kaushik · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
4. Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays
   2018/07/01 by Agrawal, Amogh, Jaiswal, Akhilesh, Roy, Deboleena +4 · 1 citation
   #Emerging Technologies (cs.ET) #FOS: Computer and information sciences
5. Reinforcement Learning with Low-Complexity Liquid State Machines
   2019/06/04 by Ponghiran, Wachirawit, Srinivasan, Gopalakrishnan, Roy, Kaushik · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network with On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge
   2020/02/25 by Koo, Minsuk, Srinivasan, Gopalakrishnan, Shim, Yong +1 · 1 citation
   #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Hardware Architecture (cs.AR)