Dr. Manan Suri
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Phase change memory as synapse for ultra-dense neuromorphic systems: Application to complex visual pattern extraction
M Suri, O Bichler, D Querlioz, O Cueto, L Perniola, V Sousa, D Vuillaume, ...
2011 International Electron Devices Meeting, 4.4. 1-4.4. 4, 2011
Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses
M Suri, D Querlioz, O Bichler, G Palma, E Vianello, D Vuillaume, ...
IEEE Transactions on Electron Devices 60 (7), 2013
Visual Pattern Extraction Using Energy-Efficient “2-PCM Synapse” Neuromorphic Architecture
O Bichler, M Suri, D Querlioz, B DeSalvo, C Gamrat
Electron Devices, IEEE Transactions on 59 (8), 2206-2214, 2012
Advances in neuromorphic memristor science and applications
R Kozma, RE Pino, GE Pazienza
Springer Science & Business Media, 2012
CBRAM devices as binary synapses for low-power stochastic neuromorphic systems: auditory (cochlea) and visual (retina) cognitive processing applications
M Suri, O Bichler, D Querlioz, G Palma, E Vianello, D Vuillaume, ...
2012 International Electron Devices Meeting, 10.3. 1-10.3. 4, 2012
Physical aspects of low power synapses based on phase change memory devices
M Suri, O Bichler, D Querlioz, B Traore, O Cueto, L Perniola, V Sousa, ...
Journal of Applied Physics 112 (5), 054904, 2012
An adaptive threshold neuron for recurrent spiking neural networks with nanodevice hardware implementation
A Shaban, SS Bezugam, M Suri
Nature Communications 12 (1), 4234, 2021
Recent trends in neuromorphic engineering
S Soman, M Suri
Big Data Analytics 1, 1-19, 2016
Exploiting Intrinsic Variability of Filamentary Resistive Memory for Extreme Learning Machine Architectures
M Suri, V Parmar
IEEE, 2015
Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices
M Suri
Springer 31, 210, 2017
Impact of PCM Resistance-Drift in Neuromorphic Systems and Drift-Mitigation Strategy
M Suri, D Garbin, O Bichler, D Querlioz, D Vuillaume, C Gamrat, ...
Recent trends in hardware security exploiting hybrid CMOS-resistive memory circuits
S Sahay, M Suri
Semiconductor Science and Technology 32 (12), 123001, 2017
Stochastic neuron design using Conductive Bridge RAM
G Palma, M Suri, D Querlioz, E Vianello, B De Salvo
Neuromorphic hybrid RRAM-CMOS RBM architecture
M Suri, V Parmar, A Kumar, D Querlioz, F Alibart
15th Non-Volatile Memory Technology Symposium (NVMTS), Beijing, China, 2015, 1-6, 2016
Phase change memory for synaptic plasticity application in neuromorphic systems
M Suri, V Sousa, L Perniola, D Vuillaume, B DeSalvo
The 2011 International Joint Conference on Neural Networks, 619-624, 2011
SLIM: simultaneous logic-in-memory computing exploiting bilayer analog OxRAM devices
SK Kingra, V Parmar, CC Chang, B Hudec, TH Hou, M Suri
Scientific reports 10 (1), 2567, 2020
Network of artificial neurons based on complementary memristive devices
O Bichler, B Desalvo, C Gamrat, S Manan
US Patent 9,396,431, 2016
Low-power (1T1N) skyrmionic synapses for spiking neuromorphic systems
T Bhattacharya, S Li, Y Huang, W Kang, W Zhao, M Suri
IEEE Access 7, 5034-5044, 2019
NV-BNN: An accurate deep convolutional neural network based on binary STT-MRAM for adaptive AI edge
CC Chang, MH Wu, JW Lin, CH Li, V Parmar, HY Lee, JH Wei, SS Sheu, ...
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
Probabilistic neuromorphic system using binary phase-change memory (PCM) synapses: Detailed power consumption analysis
D Garbin, M Suri, O Bichler, D Querlioz, C Gamrat, B DeSalvo
Nanotechnology (IEEE-NANO), 2013 13th IEEE Conference on, 91-94, 2013
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