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ORCIDSebastian Musslick
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2020 – today
- 2024
[i8]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 abs/2403.03230 (2024)- [i7]Sebastian Musslick, Laura Bartlett, Suyog H. Chandramouli, Marina Dubova, Fernand Gobet, Thomas L. Griffiths, Jessica Hullman, Ross D. King, J. Nathan Kutz, Christopher G. Lucas, Suhas Mahesh, Franco Pestilli, Sabina J. Sloman, William R. Holmes:
Automating the Practice of Science - Opportunities, Challenges, and Implications. CoRR abs/2409.05890 (2024) - 2023
- [j2]Sebastian Musslick, Javier Masís:
Pushing the Bounds of Bounded Optimality and Rationality. Cogn. Sci. 47(4) (2023) - [c20]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 - [c19]Younes Strittmatter, Markus Spitzer, Miguel Ruiz-Garcia, Samuel Gershman, Sebastian Musslick:
Does a Curriculum Improve Perceptual Decision Making? CogSci 2023 - [c18]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 - [i6]Ryan Pyle, Sebastian Musslick, Jonathan D. Cohen, Ankit B. Patel:
A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks. CoRR abs/2307.07575 (2023) - [i5]Sida Li, Ioana Marinescu, Sebastian Musslick:
GFN-SR: Symbolic Regression with Generative Flow Networks. CoRR abs/2312.00396 (2023) - 2022
- [c17]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 - [c16]Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre:
A Benchmark for Compositional Visual Reasoning. NeurIPS 2022 - [i4]Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre:
A Benchmark for Compositional Visual Reasoning. CoRR abs/2206.05379 (2022) - 2021
- [b1]Sebastian Musslick:
On the Rational Bounds of Cognitive Control. Princeton University, USA, 2021 - [c15]Gregory Henselman-Petrusek, Tyler Giallanza, Sebastian Musslick, Jonathan Cohen:
Regression, encoding, control: an integrated approach to shared representations with distributed coding. CogSci 2021 - [c14]Sebastian Musslick:
Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search. CogSci 2021 - [i3]Sebastian Musslick:
Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search. CoRR abs/2103.13939 (2021) - 2020
- [c13]Sebastian Musslick, Maria Wirzberger, Ivan Grahek, Laura Bustamante, Amitai Shenhav, Jonathan D. Cohen:
Mental effort: One construct, many faces? CogSci 2020 - [i2]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 abs/2007.10527 (2020)
2010 – 2019
- 2019
- [c12]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: 35-36 - [c11]Sebastian Musslick, Jonathan D. Cohen:
A Mechanistic Account of Constraints on Control-Dependent Processing: Shared Representation, Conflict and Persistence. CogSci 2019: 849-855 - [c10]Markus Spitzer, Sebastian Musslick, Michael Shvartsman, Amitai Shenhav, Jonathan D. Cohen:
Asymmetric Switch Costs as a Function of Task Strength. CogSci 2019: 1070-1076 - [c9]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: 2420-2426 - [c8]Sebastian Musslick, Jonathan D. Cohen, Amitai Shenhav:
Decomposing Individual Differences in Cognitive Control: A Model-Based Approach. CogSci 2019: 2427-2433 - 2018
- [j1]Falk Lieder, Amitai Shenhav, Sebastian Musslick, Thomas L. Griffiths:
Rational metareasoning and the plasticity of cognitive control. PLoS Comput. Biol. 14(4) (2018) - [c7]Sebastian Musslick, Jonathan D. Cohen, Amitai Shenhav:
Estimating the costs of cognitive control from task performance: theoretical validation and potential pitfalls. CogSci 2018 - [c6]Sebastian Musslick, Seong Jun Jang, Michael Shvartsman, Amitai Shenhav, Jonathan D. Cohen:
Constraints associated with cognitive control and the stability-flexibility dilemma. CogSci 2018 - [c5]Yotam Sagiv, Sebastian Musslick, Yael Niv, Jonathan D. Cohen:
Efficiency of learning vs. processing: Towards a normative theory of multitasking. CogSci 2018 - 2017
- [c4]Sebastian Musslick, Andrew Saxe, Kayhan Özcimder, Biswadip Dey, Greg Henselman, Jonathan D. Cohen:
Multitasking Capability Versus Learning Efficiency in Neural Network Architectures. CogSci 2017 - [c3]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 - [c2]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: 2100-2109 - 2016
- [c1]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 - [i1]Jonathan D. Cohen, Biswadip Dey, Tom Griffiths, Sebastian Musslick, Kayhan Özcimder, Daniel Reichman, Igor Shinkar, Tal Wagner:
A Graph-Theoretic Approach to Multitasking. CoRR abs/1611.02400 (2016)
Coauthor Index
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