When Evolving Populations is Better than Coevolving Individuals: The Blind Mice Problem. - Thomas Miconi (IJCAI, 2003)

Analysing Co-evolution Among Artificial 3D Creatures. - Thomas Miconi; Alastair Channon (Artificial Evolution, 2005)

A virtual creatures model for studies in artificial evolution. - Thomas Miconi; Alastair Channon (Congress on Evolutionary Computation, 2005)

The N-Strikes-Out Algorithm: A Steady-State Algorithm for Coevolution. - Thomas Miconi; Alastair Channon (IEEE Congress on Evolutionary Computation, 2006)

Fitness Transmission - A Genealogic Signature of Adaptive Evolution. - Thomas Miconi (ALIFE, 2008)

Evosphere: Evolutionary dynamics in a population of fighting virtual creatures. - Thomas Miconi (IEEE Congress on Evolutionary Computation, 2008)

In Silicon No One Can Hear You Scream: Evolving Fighting Creatures. - Thomas Miconi (EuroGP, 2008)

Evolution and Complexity: The Double-Edged Sword. - Thomas Miconi (Artif. Life, 2008)

The road to everywhere : Evolution, complexity and progress in natural and artificial systems. - Thomas Miconi (2008)

Why Coevolution Doesn't "Work": Superiority and Progress in Coevolution. - Thomas Miconi (EuroGP, 2009)

A feedback model of attentional effects in the visual cortex. - Thomas Miconi; Rufin VanRullen (CIMSIVP, 2011)

Neural networks with differentiable structure. - Thomas Miconi (CoRR, 2016)

Backpropagation of Hebbian plasticity for lifelong learning. - Thomas Miconi (CoRR, 2016)

A Feedback Model of Attention Explains the Diverse Effects of Attention on Neural Firing Rates and Receptive Field Structure. - Thomas Miconi; Rufin VanRullen (PLoS Comput. Biol., 2016)

Defining and simulating open-ended novelty: requirements, guidelines, and challenges. - Wolfgang Banzhaf; Bert Baumgaertner; Guillaume Beslon; René Doursat; James A. Foster; Barry McMullin; Vinícius Veloso de Melo; Thomas Miconi; Lee Spector; Susan Stepney; Roger White (Theory Biosci., 2016)

A note on the impossibility of "fairness". - Thomas Miconi (CoRR, 2017)

Differentiable plasticity: training plastic neural networks with backpropagation. - Thomas Miconi; Kenneth O. Stanley; Jeff Clune (ICML, 2018)

Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. - Thomas Miconi; Aditya Rawal; Jeff Clune; Kenneth O. Stanley (ICLR (Poster), 2019)

First-Order Preconditioning via Hypergradient Descent. - Ted Moskovitz; Rui Wang 052; Janice Lan; Sanyam Kapoor; Thomas Miconi; Jason Yosinski; Aditya Rawal (CoRR, 2019)

Learning to Continually Learn. - Shawn Beaulieu; Lapo Frati; Thomas Miconi; Joel Lehman; Kenneth O. Stanley; Jeff Clune; Nick Cheney (ECAI, 2020)

Estimating Q(s,s') with Deep Deterministic Dynamics Gradients. - Ashley D. Edwards; Himanshu Sahni; Rosanne Liu; Jane Hung; Ankit Jain; Rui Wang 052; Adrien Ecoffet; Thomas Miconi; Charles Isbell; Jason Yosinski (ICML, 2020)

Enabling Continual Learning with Differentiable Hebbian Plasticity. - Vithursan Thangarasa; Thomas Miconi; Graham W. Taylor (IJCNN, 2020)

Multi-layer Hebbian networks with modern deep learning frameworks. - Thomas Miconi (CoRR, 2021)

Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning. - Thomas Miconi (ICML, 2023)

A large parametrized space of meta-reinforcement learning tasks. - Thomas Miconi (CoRR, 2023)

Brain-inspired learning in artificial neural networks: a review. - Samuel Schmidgall; Jascha Achterberg; Thomas Miconi; Louis Kirsch; Rojin Ziaei; S. Pardis Hajiseyedrazi; Jason Eshraghian (CoRR, 2023)

Thinking agents for zero-shot generalization to qualitatively novel tasks. - Thomas Miconi; Kevin L. McKee; Yicong Zheng; Jed McCaleb (CoRR, 2025)