S. K. Vohra, M. Sakare, A. P. James, D. M. Das, "SpiMAM: CMOS Implementation of Bio-Inspired Spiking Multidirectional Associative Memory Featuring In-Situ Learning," in IEEE Transactions on Circuits and Systems I: Regular Papers, doi: 10.1109/TCSI.2024.3427387 

S. K. Vohra, S. A. Thomas, Shivdeep, M. Sakare and D. M. Das, "Full CMOS Circuit for Brain-Inspired Associative Memory With On-Chip Trainable Memristive STDP Synapse," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023 doi: 10.1109/TVLSI.2023.3268173. (Among top 50 most popular papers of TVLSI from May 2023-Oct 2023, Dec 2023.

S. K. Vohra, S. A. Thomas, M. Sakare and D. M. Das, "Circuit Implementation of On-chip Trainable Spiking Neural Network using CMOS Based Memristive STDP Synapses and LIF Neurons,"  in  Integration, the VLSI Journal, March 2024, doi: 10.1016/j.vlsi.2023.102122 . (One of the most downloaded papers) Link 

S. K. Vohra, A. P. James, M. Sakare and D. M. Das, "Analysing Mismatch effect of CMOS Neurons in Spiking Neural Network with Winner-take-all Mechanism," 2023 IEEE Nordic Circuits and Systems Conference (NorCAS), Aalborg, Denmark, 2023, pp. 1-7, doi: 10.1109/NorCAS58970.2023.10305471 

S. K. Vohra, M. Sakare and D. M. Das, "Full CMOS Analog Circuit Implementation of Multi-Functional Pavlov Associative Memory using STDP Learning" accepted for publication in IEEE Women in Technology Conference (IEEE WINTECHCON) 2023 held in Bengaluru India, on 21st September 2023. (Received Best Paper award)

S. A. Thomas, S. K. Vohra, S. Kushwaha, R. S. Sharma, D. M. Das, "Modeling and Analysis of CMOS-based Folded Memristive Crossbar Array for 3D Neuromorphic Integrated Circuits", Accepted in the IEEE 73rd Electronic Components and Technology Conference (ECTC), Florida, USA, 2023.

S. A. Thomas, S. K. Vohra, R. Kumar, R. Sharma and D. M. Das, "Analysis of Parasitic Effects in a Crossbar in CMOS Based Neuromorphic System for Pattern Recognition Using Memristive Synapses," in IEEE Transactions on Nanotechnology, vol. 21, pp. 380-389, 2022, doi: 10.1109/TNANO.2022.3190903 

S. K. Vohra, S. Thomas, M. Sakare and D. M. Das, "Full CMOS Implementation of Bidirectional Associative Memory Neural Network with Analog Memristive Synapse," 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021, pp. 445-448, doi: 10.1109/MWSCAS47672.2021.9531865.

S. K. Vohra, S. Thomas, M. Sakare and D. M. Das, "Analytical Modelling of a CMOS Inter Spike Interval Decoder for Resistive Crossbar based Brain Inspired Computing," 2021 25th International Symposium on VLSI Design and Test (VDAT), 2021, pp. 1-4, doi: 10.1109/VDAT53777.2021.9600953.

S. A. Thomas, S. K. Vohra, R. Kumar, R. Sharma and D. M. Das, "Analysis of Parasitics on CMOS based Memristor Crossbar Array for Neuromorphic Systems," 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021, pp. 309-312, doi: 10.1109/MWSCAS47672.2021.9531867.

S. Shivdeep, S. K. Vohra, N. Goel and D. M. Das, "A Robust Training Signal Generator for Trainable Memristive Digital to Analog Converter," 2021 IEEE International Symposium on Smart Electronic Systems (iSES), 2021, pp. 1-5, doi: 10.1109/iSES52644.2021.00014.