Semi-Supervised Graph Structure Learning on Neuromorphic Computers. - Guojing Cong; Seung-Hwan Lim; Shruti R. Kulkarni; Prasanna Date; Thomas E. Potok; Shay Snyder; Maryam Parsa; Catherine D. Schuman (ICONS, 2022)

Evolutionary vs imitation learning for neuromorphic control at the edge. - Catherine D. Schuman; Robert M. Patton; Shruti R. Kulkarni; Maryam Parsa; Christopher G. Stahl; Nicholas Quentin Haas; J. Parker Mitchell; Shay Snyder; Amelie Nagle; Alexandra Shanafield; Thomas E. Potok (Neuromorph. Comput. Eng., 2022)

Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation. - Guojing Cong; Shruti R. Kulkarni; Seung-Hwan Lim; Prasanna Date; Shay Snyder; Maryam Parsa; Dominic Kennedy; Catherine D. Schuman (ICMLA, 2023)

Neuromorphic Bayesian Optimization in Lava. - Shay Snyder; Sumedh R. Risbud; Maryam Parsa (ICONS, 2023)

Zespol: A Lightweight Environment for Training Swarming Agents. - Shay Snyder; Kevin Zhu; Ricardo Vega; Cameron Nowzari; Maryam Parsa (ICONS, 2023)

Object Motion Sensitivity: A Bio-inspired Solution to the Ego-motion Problem for Event-based Cameras. - Shay Snyder; Hunter Thompson; Md. Abdullah-Al Kaiser; Gregory Schwartz; Akhilesh R. Jaiswal; Maryam Parsa (CoRR, 2023)

Transductive Spiking Graph Neural Networks for Loihi. - Shay Snyder; Victoria Clerico; Guojing Cong; Shruti R. Kulkarni; Catherine D. Schuman; Sumedh R. Risbud; Maryam Parsa (ACM Great Lakes Symposium on VLSI, 2024)

Asynchronous Neuromorphic Optimization in Lava. - Shay Snyder; Sumedh R. Risbud; Maryam Parsa (ACM Great Lakes Symposium on VLSI, 2024)

Exploration of Novel Neuromorphic Methodologies for Materials Applications. - Derek Gobin; Shay Snyder; Guojing Cong; Shruti R. Kulkarni; Catherine D. Schuman; Maryam Parsa (ICONS, 2024)

Learning to Estimate Regions of Attraction of Autonomous Dynamical Systems Using Bayesian Physics Informed Neural Networks. - Cody Scharzenberger; Shay Snyder; Sumedh R. Risbud; Joe Hays; Maryam Parsa (ICONS, 2024)

Hardware-Algorithm Re-Engineering of Retinal Circuit for Intelligent Object Motion Segmentation. - Jason Sinaga; Victoria Clerico; Md. Abdullah-Al Kaiser; Shay Snyder; Arya Lohia; Gregory Schwartz; Maryam Parsa; Akhilesh Jaiswal 001 (ICONS, 2024)

Parallelized Multi-Agent Bayesian Optimization in Lava. - Shay Snyder; Derek Gobin; Victoria Clerico; Sumedh R. Risbud; Maryam Parsa (ICONS, 2024)

Spiking Neural Networks as a Controller for Emergent Swarm Agents. - Kevin Zhu; Connor Mattson; Shay Snyder; Ricardo Vega; Daniel S. Brown; Maryam Parsa; Cameron Nowzari (ICONS, 2024)

Brain Inspired Probabilistic Occupancy Grid Mapping with Hyperdimensional Computing. - Shay Snyder; Andrew Capodieci; David J. Gorsich; Maryam Parsa (CoRR, 2024)

Retina-inspired Object Motion Segmentation. - Victoria Clerico; Shay Snyder; Arya Lohia; Md. Abdullah-Al Kaiser; Gregory Schwartz; Akhilesh Jaiswal 001; Maryam Parsa (CoRR, 2024)

Reconfigurable Retina-Inspired Looming Detection. - Jason Sinaga; Shay Snyder; Md. Abdullah-Al Kaiser; Dan Jinoy; Gregory Schwartz; Maryam Parsa; Akhilesh Jaiswal 001 (FCCM, 2025)

Retina-inspired Object Motion Segmentation for Event-Cameras. - Victoria Clerico; Shay Snyder; Arya Lohia; Md. Abdullah-Al Kaiser; Gregory Schwartz; Akhilesh Jaiswal 001; Maryam Parsa (NICE, 2025)

A Milling Swarm of Ground Robots using Spiking Neural Networks. - Kevin Zhu; Shay Snyder; Ricardo Vega; Maryam Parsa; Cameron Nowzari (NICE, 2025)

Generalizable Reinforcement Learning with Biologically Inspired Hyperdimensional Occupancy Grid Maps for Exploration and Goal-Directed Path Planning. - Shay Snyder; Ryan Shea; Andrew Capodieci; David J. Gorsich; Maryam Parsa (CoRR, 2025)

On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels. - Ayana Moshruba; Shay Snyder; Hamed Poursiami; Maryam Parsa (CoRR, 2025)

A Retina-Inspired Pathway to Real-Time Motion Prediction inside Image Sensors for Extreme-Edge Intelligence. - Subhradip Chakraborty; Shay Snyder; Md. Abdullah-Al Kaiser; Maryam Parsa; Gregory Schwartz; Akhilesh R. Jaiswal (CoRR, 2025)