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Current and Previous works on the development of neuromorphic computing using emerging memories
- PCMO RRAM as Synapse
Key Publications:
S Lashkare et.al, "PCMO-based RRAM and NPN bipolar selector as synapse for energy efficient STDP", IEEE Electron Device Letters 38 (9), 1212-1215, 2017 link
AV Babu et.al, "Stochastic learning in deep neural networks based on nanoscale PCMO device characteristics" Neurocomputing 321, 227-236, 2018 link
- PCMO RRAM as Integrate and Fire Neuron
Key Publications:
S. Lashkare et al”PCMO RRAM for Integrate-and-Fire Neuron in Spiking Neural Networks” IEEE EDL 2018
S. Lashkare, et al ” General Izhikevich Dynamics in Pr0.7Ca0.3MnO3 RRAM Neuron ” VLSI-TSA 2020
D. Khilwani et. al. “PCMO based stochastic neuron for Boltzmann machine to solve “maximum cut” problem,” APL Materials 2019
- PCMO RRAM as an Oscillator Neuron for Oscillatory Neural Network (ONN)
Key Publications:
S. Shubham et al "Fault Tolerance of Oscillatory Neural Network: Device Oscillator based Small Network to Digital Oscillator based Large Networks " IEEE JEDS 2025 Link
S. Shubham et.al, "Fault Tolerance of Oscillatory Neural Network using PMO Oscillator", IEEE EDTM 2024
S. Lashkare et.al, “Transient Joule Heating based Oscillator Neuron for Neuromorphic Computing” IEEE EDL 2018
S. Lashkare et.al, “Method for fabricating neuron oscillator including thermal insulating device” US Patent 11,323,065 (Granted)
V. Saraswat et.al, ” Fundamental Limit on Network Size Scaling of ONN* due to PrMnO3 based Oscillator Phase Noise ”, IEEE DRC 2019
- In-memory Computing System using RRAM
Key Publications:
N. solanki et. al, "Fundamental Limitations on Neural Network Density due to Memristor Variability with Temperature",DRC 2025
N. Solanki et.al, "Impact of Memory Parameters on Sensitivity Margin of Analog-to-Digital Converter Limiting Neural Network Density", IEEE NVMTS 2024
J Sakhuja et.al, Vector-Matrix-Multiplication Acceleration with Multi-Input Pr0.7Ca0.3MnO3 based RRAM for Highly Parallel In-Memory Computing, 2023 EDTM
S Lashkare, et.al, "Nanoscale Side-Contact Enabled Three Terminal Pr0.7Ca0.3MnO3 Resistive Random Access Memory for In-Memory Computing", IEEE Electron Device Letters 41 (9), 1344-1347, 2020 link
- System Level Implementation of Spiking Neural Network
Key Publications:
N. Shah et. al, "A Hardware-Software Co-Design Platform to Evaluate SNN Workloads for ReRAM-Based IMC", 2025 IEEE ISCAS
N. Shah et. al, "A Neuromodulation-based Spiking Neural Network using ReRAM Array", 2025 IEEE ISCAS
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