Controlled vs. Automatic Processing: A Graph-Theoretic Approach to the Analysis of Serial vs. Parallel Processing in Neural Network Architectures. - Sebastian Musslick; Biswadip Dey; Kayhan Özcimder; Md. Mostofa Ali Patwary; Theodore L. Willke; Jonathan D. Cohen 003 (CogSci, 2016)

A Graph-Theoretic Approach to Multitasking. - Jonathan D. Cohen 003; Biswadip Dey; Tom Griffiths 001; Sebastian Musslick; Kayhan Özcimder; Daniel Reichman 001; Igor Shinkar; Tal Wagner (CoRR, 2016)

Multitasking Capability Versus Learning Efficiency in Neural Network Architectures. - Sebastian Musslick; Andrew Saxe; Kayhan Özcimder; Biswadip Dey; Greg Henselman; Jonathan D. Cohen 003 (CogSci, 2017)

A Formal Approach to Modeling the Cost of Cognitive Control. - Kayhan Özcimder; Biswadip Dey; Sebastian Musslick; Giovanni Petri; Nesreen K. Ahmed; Theodore L. Willke; Jonathan D. Cohen 003 (CogSci, 2017)

A graph-theoretic approach to multitasking. - Noga Alon; Daniel Reichman 001; Igor Shinkar; Tal Wagner; Sebastian Musslick; Jonathan D. Cohen 003; Tom Griffiths 001; Biswadip Dey; Kayhan Özcimder (NIPS, 2017)

Estimating the costs of cognitive control from task performance: theoretical validation and potential pitfalls. - Sebastian Musslick; Jonathan D. Cohen 003; Amitai Shenhav (CogSci, 2018)

Constraints associated with cognitive control and the stability-flexibility dilemma. - Sebastian Musslick; Seong Jun Jang; Michael Shvartsman; Amitai Shenhav; Jonathan D. Cohen 003 (CogSci, 2018)

Efficiency of learning vs. processing: Towards a normative theory of multitasking. - Yotam Sagiv; Sebastian Musslick; Yael Niv; Jonathan D. Cohen 003 (CogSci, 2018)

Rational metareasoning and the plasticity of cognitive control. - Falk Lieder; Amitai Shenhav; Sebastian Musslick; Thomas L. Griffiths 001 (PLoS Comput. Biol., 2018)

Stability-Flexibility Dilemma in Cognitive Control: A Dynamical System Perspective. - Sebastian Musslick; Anastasia S. Bizyaeva; Shamay Agaron; Naomi Ehrich Leonard; Jonathan D. Cohen 003 (CogSci, 2019)

A Mechanistic Account of Constraints on Control-Dependent Processing: Shared Representation, Conflict and Persistence. - Sebastian Musslick; Jonathan D. Cohen 003 (CogSci, 2019)

Decomposing Individual Differences in Cognitive Control: A Model-Based Approach. - Sebastian Musslick; Jonathan D. Cohen 003; Amitai Shenhav (CogSci, 2019)

Understanding interactions amongst cognitive control, learning and representation. - Sebastian Musslick; Abigail Novick Hoskin; Taylor W. Webb; Steven Frankland; Jonathan D. Cohen 003; Rebecca L. Jackson; Matthew A. Lambon Ralph; Lang Chen; Timothy T. Rogers; Randall C. O'Reilly; Alexander A. Petrov (CogSci, 2019)

Asymmetric Switch Costs as a Function of Task Strength. - Markus Spitzer; Sebastian Musslick; Michael Shvartsman; Amitai Shenhav; Jonathan D. Cohen 003 (CogSci, 2019)

Mental effort: One construct, many faces? - Sebastian Musslick; Maria Wirzberger; Ivan Grahek; Laura Bustamante; Amitai Shenhav; Jonathan D. Cohen 003 (CogSci, 2020)

Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks. - Sachin Ravi; Sebastian Musslick; Maia Hamin; Theodore L. Willke; Jonathan D. Cohen 003 (CoRR, 2020)

Regression, encoding, control: an integrated approach to shared representations with distributed coding. - Gregory Henselman-Petrusek; Tyler Giallanza; Sebastian Musslick; Jonathan Cohen 003 (CogSci, 2021)

Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search. - Sebastian Musslick (CogSci, 2021)

On the Rational Bounds of Cognitive Control - Sebastian Musslick (2021)

Leveraging psychometrics of rational inattention to estimate individual differences in the capacity for cognitive control. - Ham Huang; Ivan Grahek; Laura Bustamante; Nathaniel D. Daw; Andrew Caplin; Sebastian Musslick (CogSci, 2022)

A Benchmark for Compositional Visual Reasoning. - Aimen Zerroug; Mohit Vaishnav; Julien Colin; Sebastian Musslick; Thomas Serre (NeurIPS, 2022)

An Evaluation of Experimental Sampling Strategies for Autonomous Empirical Research in Cognitive Science. - Sebastian Musslick; Joshua T. S. Hewson; Benjamin W. Andrew; Younes Strittmatter; Chad C. Williams; George T. Dang; Marina Dubova; John Gerrard Holland (CogSci, 2023)

Does a Curriculum Improve Perceptual Decision Making? - Younes Strittmatter; Markus Spitzer; Miguel Ruiz-Garcia; Samuel Gershman; Sebastian Musslick (CogSci, 2023)

Augmenting EEG with Generative Adversarial Networks Enhances Brain Decoding Across Classifiers and Sample Sizes. - Chad C. Williams; Daniel Weinhardt; Maria Wirzberger; Sebastian Musslick (CogSci, 2023)

A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks. - Ryan Pyle; Sebastian Musslick; Jonathan D. Cohen 003; Ankit B. Patel (CoRR, 2023)

GFN-SR: Symbolic Regression with Generative Flow Networks. - Sida Li 002; Ioana Marinescu; Sebastian Musslick (CoRR, 2023)

Pushing the Bounds of Bounded Optimality and Rationality. - Sebastian Musslick; Javier Masís (Cogn. Sci., 2023)

Large language models surpass human experts in predicting neuroscience results. - Xiaoliang Luo; Akilles Rechardt; Guangzhi Sun; Kevin K. Nejad; Felipe Yáñez; Bati Yilmaz; Kangjoo Lee; Alexandra O. Cohen; Valentina Borghesani; Anton Pashkov; Daniele Marinazzo; Jonathan Nicholas; et al. (CoRR, 2024)

Automating the Practice of Science - Opportunities, Challenges, and Implications. - Sebastian Musslick; Laura Bartlett; Suyog H. Chandramouli; Marina Dubova; Fernand Gobet; Thomas L. Griffiths 001; Jessica Hullman; Ross D. King; J. Nathan Kutz; Christopher G. Lucas; Suhas Mahesh; Franco Pestilli; et al. (CoRR, 2024)

AutoRA: Automated Research Assistant for Closed-Loop Empirical Research. - Sebastian Musslick; Benjamin W. Andrew; Chad C. Williams; Joshua T. S. Hewson; Sida Li 002; Ioana Marinescu; Marina Dubova; George T. Dang; Younes Strittmatter; John Gerrard Holland (J. Open Source Softw., 2024)

SweetBean: A declarative language for behavioral experiments with human and artificial participants. - Younes Strittmatter; Sebastian Musslick (J. Open Source Softw., 2025)

Not Yet AlphaFold for the Mind: Evaluating Centaur as a Synthetic Participant. - Sabrina Namazova; Alessandra Brondetta; Younes Strittmatter; Matthew Nassar; Sebastian Musslick (CoRR, 2025)