A Compact Model for the Variable Switching Dynamics of HfO2 Memristors. - Manu Rathore; Ryan Weiss; Mst Shamim Ara Shawkat; Garrett S. Rose; Maximilian Liehr; Minhaz Abedin; Sarah Rafiq; Nathaniel C. Cady (MWSCAS, 2022)

RFAM: RESET-Failure-Aware-Model for HfO2-based Memristor to Enhance the Reliability of Neuromorphic Design. - Hritom Das; Manu Rathore; Rocco Febbo; Maximilian Liehr; Nathaniel C. Cady; Garrett S. Rose (ACM Great Lakes Symposium on VLSI, 2023)

Reliability Analysis of Memristive Reservoir Computing Architecture. - Manu Rathore; Rocco D. Febbo; Adam Z. Foshie; Sree Nirmillo Biswash Tushar; Hritom Das; Garrett S. Rose (ACM Great Lakes Symposium on VLSI, 2023)

AnSpiCS-Net: Reconfigurable Network-on-Chip for Analog Spiking Recurrent Neural Networks. - Manu Rathore; Garrett S. Rose (ISCAS, 2024)

A Memristive Reconfigurable Neuromorphic Array for Neuro-Inspired Dynamic Architectures. - Hritom Das; Nishith N. Chakraborty; Manu Rathore; Sk Hasibul Alam; Catherine D. Schuman; Garrett S. Rose (ISVLSI, 2024)

Maximizing Efficiency of SNN-Based Reservoir Computing via NoC-Assisted Dimensionality Reduction. - Manu Rathore; Garrett S. Rose (ISVLSI, 2024)

Leveraging Sparsity of SRNNs for Reconfigurable and Resource-Efficient Network-on-Chip. - Manu Rathore; Garrett S. Rose (NICE, 2024)

SpiCS-Net: Circuit Switched Network on Chip for Area-Efficient Spiking Recurrent Neural Networks. - Manu Rathore; Garrett S. Rose (VLSID, 2024)