Sebastian Musslick

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 29

Top Topics

Symbolic Regression

Information Processing

Individual Differences

Top Venues

Publications

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, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love
Large language models surpass human experts in predicting neuroscience results. CoRR (2024)
Sebastian Musslick, Joshua T. S. Hewson, Benjamin W. Andrew, Younes Strittmatter, Chad C. Williams, George T. Dang, Marina Dubova, John Gerrard Holland
An Evaluation of Experimental Sampling Strategies for Autonomous Empirical Research in Cognitive Science. CogSci (2023)
Chad C. Williams, Daniel Weinhardt, Maria Wirzberger, Sebastian Musslick
Augmenting EEG with Generative Adversarial Networks Enhances Brain Decoding Across Classifiers and Sample Sizes. CogSci (2023)
Sebastian Musslick, Javier Masís
Pushing the Bounds of Bounded Optimality and Rationality. Cogn. Sci. 47 (4) (2023)
Younes Strittmatter, Markus Spitzer, Miguel Ruiz-Garcia, Samuel Gershman, Sebastian Musslick
Does a Curriculum Improve Perceptual Decision Making? CogSci (2023)
Sida Li, Ioana Marinescu, Sebastian Musslick
GFN-SR: Symbolic Regression with Generative Flow Networks. CoRR (2023)
Ryan Pyle, Sebastian Musslick, Jonathan D. Cohen, Ankit B. Patel
A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks. CoRR (2023)
Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre
A Benchmark for Compositional Visual Reasoning. NeurIPS (2022)
Ham Huang, Ivan Grahek, Laura Bustamante, Nathaniel D. Daw, Andrew Caplin, Sebastian Musslick
Leveraging psychometrics of rational inattention to estimate individual differences in the capacity for cognitive control. CogSci (2022)
Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre
A Benchmark for Compositional Visual Reasoning. CoRR (2022)
Sebastian Musslick
Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search. CogSci (2021)
Sebastian Musslick
Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search. CoRR (2021)
Gregory Henselman-Petrusek, Tyler Giallanza, Sebastian Musslick, Jonathan Cohen
Regression, encoding, control: an integrated approach to shared representations with distributed coding. CogSci (2021)
Sebastian Musslick, Maria Wirzberger, Ivan Grahek, Laura Bustamante, Amitai Shenhav, Jonathan D. Cohen
Mental effort: One construct, many faces? CogSci (2020)
Sachin Ravi, Sebastian Musslick, Maia Hamin, Theodore L. Willke, Jonathan D. Cohen
Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks. CoRR (2020)
Sebastian Musslick, Jonathan D. Cohen, Amitai Shenhav
Decomposing Individual Differences in Cognitive Control: A Model-Based Approach. CogSci (2019)
Sebastian Musslick, Anastasia S. Bizyaeva, Shamay Agaron, Naomi Ehrich Leonard, Jonathan D. Cohen
Stability-Flexibility Dilemma in Cognitive Control: A Dynamical System Perspective. CogSci (2019)
Sebastian Musslick, Abigail Novick Hoskin, Taylor W. Webb, Steven Frankland, Jonathan D. Cohen, Rebecca L. Jackson, Matthew A. Lambon Ralph, Lang Chen, Timothy T. Rogers, Randall C. O'Reilly, Alexander A. Petrov
Understanding interactions amongst cognitive control, learning and representation. CogSci (2019)
Sebastian Musslick, Jonathan D. Cohen
A Mechanistic Account of Constraints on Control-Dependent Processing: Shared Representation, Conflict and Persistence. CogSci (2019)
Markus Spitzer, Sebastian Musslick, Michael Shvartsman, Amitai Shenhav, Jonathan D. Cohen
Asymmetric Switch Costs as a Function of Task Strength. CogSci (2019)
Falk Lieder, Amitai Shenhav, Sebastian Musslick, Thomas L. Griffiths
Rational metareasoning and the plasticity of cognitive control. PLoS Comput. Biol. 14 (4) (2018)
Sebastian Musslick, Jonathan D. Cohen, Amitai Shenhav
Estimating the costs of cognitive control from task performance: theoretical validation and potential pitfalls. CogSci (2018)
Yotam Sagiv, Sebastian Musslick, Yael Niv, Jonathan D. Cohen
Efficiency of learning vs. processing: Towards a normative theory of multitasking. CogSci (2018)
Sebastian Musslick, Seong Jun Jang, Michael Shvartsman, Amitai Shenhav, Jonathan D. Cohen
Constraints associated with cognitive control and the stability-flexibility dilemma. CogSci (2018)
Kayhan Özcimder, Biswadip Dey, Sebastian Musslick, Giovanni Petri, Nesreen K. Ahmed, Theodore L. Willke, Jonathan D. Cohen
A Formal Approach to Modeling the Cost of Cognitive Control. CogSci (2017)
Sebastian Musslick, Andrew Saxe, Kayhan Özcimder, Biswadip Dey, Greg Henselman, Jonathan D. Cohen
Multitasking Capability Versus Learning Efficiency in Neural Network Architectures. CogSci (2017)
Noga Alon, Daniel Reichman, Igor Shinkar, Tal Wagner, Sebastian Musslick, Jonathan D. Cohen, Tom Griffiths, Biswadip Dey, Kayhan Özcimder
A graph-theoretic approach to multitasking. NIPS (2017)
Sebastian Musslick, Biswadip Dey, Kayhan Özcimder, Md. Mostofa Ali Patwary, Theodore L. Willke, Jonathan D. Cohen
Controlled vs. Automatic Processing: A Graph-Theoretic Approach to the Analysis of Serial vs. Parallel Processing in Neural Network Architectures. CogSci (2016)
Jonathan D. Cohen, Biswadip Dey, Tom Griffiths, Sebastian Musslick, Kayhan Özcimder, Daniel Reichman, Igor Shinkar, Tal Wagner
A Graph-Theoretic Approach to Multitasking. CoRR (2016)