BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. - Hananel Hazan; Daniel J. Saunders; Hassaan Khan; Devdhar Patel; Darpan T. Sanghavi; Hava T. Siegelmann; Robert Kozma 001 (Frontiers Neuroinformatics, 2018)

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games. - Devdhar Patel; Hananel Hazan; Daniel J. Saunders; Hava T. Siegelmann; Robert Kozma 001 (CoRR, 2019)

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game. - Devdhar Patel; Hananel Hazan; Daniel J. Saunders; Hava T. Siegelmann; Robert Kozma 001 (Neural Networks, 2019)

Locally connected spiking neural networks for unsupervised feature learning. - Daniel J. Saunders; Devdhar Patel; Hananel Hazan; Hava T. Siegelmann; Robert Kozma 001 (Neural Networks, 2019)

Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification. - Devdhar Patel; Robert Kozma 001 (IJCNN, 2020)

Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. - Weihao Tan; Devdhar Patel; Robert Kozma 001 (AAAI, 2021)

Automatic Transpiler that Efficiently Converts Digital Circuits to a Neural Network Representation. - Devdhar Patel; Ignacio Gavier; Joshua Russell; Andrew Malinsky; Edward A. Rietman; Hava T. Siegelmann (IJCNN, 2022)

QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures. - Devdhar Patel; Hava T. Siegelmann (CoRR, 2022)

Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms. - Weihao Tan; Robert Kozma 001; Devdhar Patel (Knowl. Based Syst., 2022)

Temporally Layered Architecture for Adaptive, Distributed and Continuous Control. - Devdhar Patel; Joshua Russell; Francesca Walsh; Tauhidur Rahman; Terrence J. Sejnowski; Hava T. Siegelmann (AAMAS, 2023)

Neural Network Compiler for Parallel High-Throughput Simulation of Digital Circuits. - Ignacio Gavier; Joshua Russell; Devdhar Patel; Edward A. Rietman; Hava T. Siegelmann (IPDPS, 2023)

Temporally Layered Architecture for Efficient Continuous Control. - Devdhar Patel; Terrence J. Sejnowski; Hava T. Siegelmann (CoRR, 2023)

Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures. - Devdhar Patel; Terrence J. Sejnowski; Hava T. Siegelmann (Neural Comput., 2024)

Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control. - Devdhar Patel; Hava T. Siegelmann (ICLR, 2025)

Optimizing Neural Network Representations of Boolean Networks. - Joshua Russell; Ignacio Gavier; Devdhar Patel; Edward A. Rietman; Hava T. Siegelmann (ICLR, 2025)