Towards a multi-level neural architecture that unifies self-intended and imitated arm reaching performance. - Rodolphe J. Gentili; Hyuk Oh; Di-Wei Huang; Garrett E. Katz; Ross H. Miller; James A. Reggia (EMBC, 2014)

An Object-Centric Paradigm for Robot Programming by Demonstration. - Di-Wei Huang; Garrett E. Katz; Joshua D. Langsfeld; Hyuk Oh; Rodolphe J. Gentili; James A. Reggia (HCI (15), 2015)

A virtual demonstrator environment for robot imitation learning. - Di-Wei Huang; Garrett E. Katz; Joshua D. Langsfeld; Rodolphe J. Gentili; James A. Reggia (TePRA, 2015)

A Neural Architecture for Performing Actual and Mentally Simulated Movements During Self-Intended and Observed Bimanual Arm Reaching Movements. - Rodolphe J. Gentili; Hyuk Oh; Di-Wei Huang; Garrett E. Katz; Ross H. Miller; James A. Reggia (Int. J. Soc. Robotics, 2015)

Imitation Learning as Cause-Effect Reasoning. - Garrett E. Katz; Di-Wei Huang; Rodolphe J. Gentili; James A. Reggia (AGI, 2016)

A limit-cycle self-organizing map architecture for stable arm control. - Di-Wei Huang; Rodolphe J. Gentili; Garrett E. Katz; James A. Reggia (Neural Networks, 2017)

A Cognitive Robotic Imitation Learning System Based On Cause-Effect Reasoning. - Garrett E. Katz (2017)

Learning in a Continuous-Valued Attractor Network. - Baram Sosis; Garrett E. Katz; James A. Reggia (ICMLA, 2018)

Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies. - James A. Reggia; Garrett E. Katz; Gregory P. Davis (Frontiers Robotics AI, 2018)

A Novel Parsimonious Cause-Effect Reasoning Algorithm for Robot Imitation and Plan Recognition. - Garrett E. Katz; Di-Wei Huang; Theresa Hauge; Rodolphe J. Gentili; James A. Reggia (IEEE Trans. Cogn. Dev. Syst., 2018)

Using Directional Fibers to Locate Fixed Points of Recurrent Neural Networks. - Garrett E. Katz; James A. Reggia (IEEE Trans. Neural Networks Learn. Syst., 2018)

Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation. - Sanjukta Krishnagopal; Garrett E. Katz; Michelle Girvan; James A. Reggia (IJCNN, 2019)

A programmable neural virtual machine based on a fast store-erase learning rule. - Garrett E. Katz; Gregory P. Davis; Rodolphe J. Gentili; James A. Reggia (Neural Networks, 2019)

Reinforcement-based Program Induction in a Neural Virtual Machine. - Garrett E. Katz; Khushboo Gupta; James A. Reggia (IJCNN, 2020)

Extending CNN Classification Capabilities Using a Novel Feature to Image Transformation (FIT) Algorithm. - Ammar S. Salman; Odai S. Salman; Garrett E. Katz (SAI (2), 2020)

Artificial Conscious Intelligence. - James A. Reggia; Garrett E. Katz; Gregory P. Davis (J. Artif. Intell. Conscious., 2020)

Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks. - Naveed Tahir; Garrett E. Katz (IJCNN, 2021)

A Neurocomputational Model of Posttraumatic Stress Disorder. - Gregory P. Davis; Garrett E. Katz; Daniel Soranzo; Nathaniel Allen; Matthew J. Reinhard; Rodolphe J. Gentili; Michelle E. Costanzo; James A. Reggia (NER, 2021)

Tunable Neural Encoding of a Symbolic Robotic Manipulation Algorithm. - Garrett E. Katz; Akshay; Gregory P. Davis; Rodolphe J. Gentili; James A. Reggia (Frontiers Neurorobotics, 2021)

High-Level Motor Planning Assessment During Performance of Complex Action Sequences in Humans and a Humanoid Robot. - Theresa Hauge; Garrett E. Katz; Gregory P. Davis; Di-Wei Huang; James A. Reggia; Rodolphe J. Gentili (Int. J. Soc. Robotics, 2021)

Compositional memory in attractor neural networks with one-step learning. - Gregory P. Davis; Garrett E. Katz; Rodolphe J. Gentili; James A. Reggia (Neural Networks, 2021)

Towards Automated Discovery of God-Like Folk Algorithms for Rubik's Cube. - Garrett E. Katz; Naveed Tahir (AAAI, 2022)

Towards Human-Like Learning Dynamics in a Simulated Humanoid Robot for Improved Human-Machine Teaming. - Akshay; Xulin Chen; Borui He; Garrett E. Katz (HCI (9), 2022)

Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance During Execution of Action Sequences. - Alexandra A. Shaver; Neehar Peri; Remy Mezebish; George Matthew; Alyza Berson; Christopher Gaskins; Gregory P. Davis; Garrett E. Katz; Immanuel Babu Henry Samuel; Matthew J. Reinhard; Michelle E. Costanzo; James A. Reggia; et al. (HCI (9), 2022)

NeuroLISP: High-level symbolic programming with attractor neural networks. - Gregory P. Davis; Garrett E. Katz; Rodolphe J. Gentili; James A. Reggia (Neural Networks, 2022)

Will Poppy Fall? Predicting Robot Falls in Advance Based on Visual Input. - Borui He; Garrett E. Katz (ICMLA, 2023)

An Unsupervised Approach to Motion Detection Using WiFi Signals. - Naveed Tahir; Yang Liu 290; Tiexing Wang; Garrett E. Katz; Biao Chen 001 (ICMLA, 2023)

NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks. - Gregory P. Davis; Garrett E. Katz; Rodolphe J. Gentili; James A. Reggia (Int. J. Soc. Robotics, 2023)

Neurocognitive assessment under various human-robot teaming environments. - Anna L. Packy; Jayesh Jayashankar; Arya Teymourlouei; Joshua Stone; Hyuk Oh; Garrett E. Katz; James A. Reggia; Rodolphe J. Gentili (EMBC, 2024)

Assessment of a Novel Virtual Environment for Examining Cognitive-Motor Processes During Execution of Action Sequences in a Human-Robot Teaming Context. - Jayesh Jayashankar; Anna L. Packy; Arya Teymourlouei; Alexandra A. Shaver; Garrett E. Katz; James A. Reggia; James Purtilo; Rodolphe J. Gentili (HCI (11), 2024)

On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors. - Ruipeng Liu; Borui He; Naveed Tahir; Garrett E. Katz (ICML, 2024)

Leveraging Symmetries in Gaits for Reinforcement Learning: A Case Study on Quadrupedal Gaits. - Jiayu Ding; Xulin Chen; Garrett E. Katz; Zhenyu Gan (CoRR, 2024)

Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation. - Xulin Chen; Ruipeng Liu; Garrett E. Katz (CoRR, 2024)

Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks. - Rui Zuo; Zifan Wang; Simon Khan; Garrett E. Katz; Qinru Qiu (CoRR, 2024)

Linearithmic Clean-up for Vector-Symbolic Key-Value Memory with Kroneker Rotation Products. - Ruipeng Liu; Qinru Qiu; Simon Khan; Garrett E. Katz (CoRR, 2025)