Circuit Techniques for Online Learning of Memristive Synapses in CMOS-Memristor Neuromorphic Systems. - Sagarvarma Sayyaparaju; Gangotree Chakma; Sherif Amer; Garrett S. Rose (ACM Great Lakes Symposium on VLSI, 2017)

A mixed-signal approach to memristive neuromorphic system design. - Gangotree Chakma; Sagarvarma Sayyaparaju; Ryan Weiss; Garrett S. Rose (MWSCAS, 2017)

A synchronized axon hillock neuron for memristive neuromorphic systems. - Ryan Weiss; Gangotree Chakma; Garrett S. Rose (MWSCAS, 2017)

A programming framework for neuromorphic systems with emerging technologies. - Catherine D. Schuman; James S. Plank; Garrett S. Rose; Gangotree Chakma; Austin Wyer; Grant Bruer; Nouamane Laanait (NANOCOM, 2017)

Neuromorphic computing for temporal scientific data classification. - Catherine D. Schuman; Thomas E. Potok; Steven R. Young; Robert M. Patton; Gabriel N. Perdue; Gangotree Chakma; Austin Wyer; Garrett S. Rose (NCS, 2017)

Resource Optimization for Circuit Simulation using Machine Learning. - Gangotree Chakma; Shaan Awasthi (IEEE BigData, 2018)

Energy and Area Efficiency in Neuromorphic Computing for Resource Constrained Devices. - Gangotree Chakma; Nicholas D. Skuda; Catherine D. Schuman; James S. Plank; Mark E. Dean; Garrett S. Rose (ACM Great Lakes Symposium on VLSI, 2018)

High-Level Simulation for Spiking Neuromorphic Computing Systems. - Nicholas D. Skuda; Catherine D. Schuman; Gangotree Chakma; James S. Plank; Garrett S. Rose (ISCAS, 2018)

Adiabatic Quantum Computation Applied to Deep Learning Networks. - Jeremy Liu; Federico M. Spedalieri; Ke-Thia Yao; Thomas E. Potok; Catherine D. Schuman; Steven R. Young; Robert M. Patton; Garrett S. Rose; Gangotree Chakma (Entropy, 2018)

Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level. - Gangotree Chakma; Md Musabbir Adnan; Austin Wyer; Ryan Weiss; Catherine D. Schuman; Garrett S. Rose (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers. - Thomas E. Potok; Catherine D. Schuman; Steven R. Young; Robert M. Patton; Federico M. Spedalieri; Jeremy Liu; Ke-Thia Yao; Garrett S. Rose; Gangotree Chakma (ACM J. Emerg. Technol. Comput. Syst., 2018)

Stochasticity in Neuromorphic Computing: Evaluating Randomness for Improved Performance. - Samuel D. Brown; Gangotree Chakma; Md Musabbir Adnan; Md Sakib Hasan; Garrett S. Rose (ICECS, 2019)

Towards Synaptic Behavior of Nanoscale ReRAM Devices for Neuromorphic Computing Applications. - Karsten Beckmann; Wilkie Olin-Ammentorp; Gangotree Chakma; Sherif Amer; Garrett S. Rose; Chris Hobbs; Joseph Van Nostrand; Martin Rodgers; Nathaniel C. Cady (ACM J. Emerg. Technol. Comput. Syst., 2020)