How Do Spatial Learning and Memory Occur in the Brain? Coordinated Learning of Entorhinal Grid Cells and Hippocampal Place Cells. - Praveen K. Pilly; Stephen Grossberg (J. Cogn. Neurosci., 2012)

How Entorhinal Grid Cells May Learn Multiple Spatial Scales from a Dorsoventral Gradient of Cell Response Rates in a Self-organizing Map. - Stephen Grossberg; Praveen K. Pilly (PLoS Comput. Biol., 2012)

On comparing in vivo intracranial recordings in non-human primates to predictions of optimized transcranial electrical stimulation. - Abhishek Datta; Matthew R. Krause; Praveen K. Pilly; Jaehoon Choe; Theodoros P. Zanos; Chris Thomas 001; Christopher C. Pack (EMBC, 2016)

Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. - Mohammad Rostami; Soheil Kolouri; Praveen K. Pilly (IJCAI, 2019)

Probabilistic Program Neurogenesis. - Charles E. Martin; Praveen K. Pilly (ALIFE, 2019)

Neuromodulated Goal-Driven Perception in Uncertain Domains. - Xinyun Zou; Soheil Kolouri; Praveen K. Pilly; Jeffrey L. Krichmar (CoRR, 2019)

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)

Hypercolumn Sparsification for Low-Power Convolutional Neural Networks. - Praveen K. Pilly; Nigel Stepp; Yannis Liapis; David W. Payton; Narayan Srinivasa (ACM J. Emerg. Technol. Comput. Syst., 2019)

Generative Continual Concept Learning. - Mohammad Rostami; Soheil Kolouri; Praveen K. Pilly; James L. McClelland (AAAI, 2020)

Evolving inborn knowledge for fast adaptation in dynamic POMDP problems. - Eseoghene Ben-Iwhiwhu; Pawel Ladosz; Jeffery Dick; Wen-Hua Chen 001; Praveen K. Pilly; Andrea Soltoggio (GECCO, 2020)

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

Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments. - Jeffery Dick; Pawel Ladosz; Eseoghene Ben-Iwhiwhu; Hideyasu Shimadzu; Peter Kinnell; Praveen K. Pilly; Soheil Kolouri; Andrea Soltoggio (Frontiers Neurorobotics, 2020)

Neuromodulated attention and goal-driven perception in uncertain domains. - Xinyun Zou; Soheil Kolouri; Praveen K. Pilly; Jeffrey L. Krichmar (Neural Networks, 2020)

Lifelong Learning with Sketched Structural Regularization. - Haoran Li 006; Aditya Krishnan 001; Jingfeng Wu; Soheil Kolouri; Praveen K. Pilly; Vladimir Braverman (ACML, 2021)

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)

The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning. - Andrea Soltoggio; Eseoghene Ben-Iwhiwhu; Christos Peridis; Pawel Ladosz; Jeffery Dick; Praveen K. Pilly; Soheil Kolouri (CoRR, 2023)

Lifelong Reinforcement Learning with Modulating Masks. - Eseoghene Ben-Iwhiwhu; Saptarshi Nath; Praveen K. Pilly; Soheil Kolouri; Andrea Soltoggio (Trans. Mach. Learn. Res., 2023)

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)

Metacognition for Unknown Situations and Environments (MUSE). - Rodolfo Valiente; Praveen K. Pilly (CoRR, 2024)

Self-assessment in machines boosts human Trust. - Dana Warmsley; Krishna Choudhary; Jocelyn Rego; Emma Viani; Praveen K. Pilly (Frontiers Robotics AI, 2025)