Identifying objects impairs knowledge of other objects: A relearning explanation for the neural repetition effect. - Chad J. Marsolek; Rebecca G. Deason; Nicholas A. Ketz; Pradeep Ramanathan; Edward M. Bernat; Vaughn R. Steele; Christopher J. Patrick; Mieke Verfaellie; David M. Schnyer (NeuroImage, 2010)

Theta Coordinated Error-Driven Learning in the Hippocampus. - Nicholas Ketz; Srinimisha G. Morkonda; Randall C. O'Reilly (PLoS Comput. Biol., 2013)

Complementary Learning Systems. - Randall C. O'Reilly; Rajan Bhattacharyya; Michael D. Howard; Nicholas Ketz (Cogn. Sci., 2014)

Classification aided analysis of oscillatory signatures in controlled retrieval. - Nicholas Ketz; Randall C. O'Reilly; Tim Curran (NeuroImage, 2014)

Using World Models for Pseudo-Rehearsal in Continual Learning. - Nicholas Ketz; Soheil Kolouri; Praveen K. Pilly (CoRR, 2019)

Attention-Based Structural-Plasticity. - Soheil Kolouri; Nicholas Ketz; Xinyun Zou; Jeffrey L. Krichmar; Praveen K. Pilly (CoRR, 2019)

Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture. - Pawel Ladosz; Eseoghene Ben-Iwhiwhu; Yang Hu 004; Nicholas Ketz; Soheil Kolouri; Jeffrey L. Krichmar; Praveen K. Pilly; Andrea Soltoggio (CoRR, 2019)

Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations. - Soheil Kolouri; Nicholas A. Ketz; Andrea Soltoggio; Praveen K. Pilly (ICLR, 2020)

An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations. - Glenn Maguire; Nicholas Ketz; Praveen K. Pilly; Jean-Baptiste Mouret (CoRR, 2021)

Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error. - Jeffrey L. Krichmar; Nicholas A. Ketz; Praveen K. Pilly; Andrea Soltoggio (SAB, 2022)

Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning. - Jinwei Xing; Xinyun Zou; Praveen K. Pilly; Nicholas A. Ketz; Jeffrey L. Krichmar (SAB, 2022)

A-EMS: An Adaptive Emergency Management System for Autonomous Agents in Unforeseen Situations. - Glenn Maguire; Nicholas Ketz; Praveen K. Pilly; Jean-Baptiste Mouret (TAROS, 2022)

Concept-modulated model-based offline reinforcement learning for rapid generalization. - Nicholas A. Ketz; Praveen K. Pilly (CoRR, 2022)

Biological underpinnings for lifelong learning machines. - Dhireesha Kudithipudi; Mario Aguilar-Simon; Jonathan Babb; Maxim Bazhenov; Douglas Blackiston; Josh C. Bongard; Andrew P. Brna; Suraj Chakravarthi Raja; Nick Cheney; Jeff Clune; Anurag Reddy Daram; Stefano Fusi; et al. (Nat. Mach. Intell., 2022)

Context meta-reinforcement learning via neuromodulation. - Eseoghene Ben-Iwhiwhu; Jeffery Dick; Nicholas A. Ketz; Praveen K. Pilly; Andrea Soltoggio (Neural Networks, 2022)

Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture. - Pawel Ladosz; Eseoghene Ben-Iwhiwhu; Jeffery Dick; Nicholas Ketz; Soheil Kolouri; Jeffrey L. Krichmar; Praveen K. Pilly; Andrea Soltoggio (IEEE Trans. Neural Networks Learn. Syst., 2022)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan M. Baker; Alexander New; Mario Aguilar-Simon; Ziad Al-Halah; Sébastien M. R. Arnold; Eseoghene Ben-Iwhiwhu; Andrew P. Brna; Ethan Brooks; Ryan C. Brown; Zachary Daniels; Anurag Reddy Daram; Fabien Delattre; et al. (Neural Networks, 2023)