Sebastian Musslick

According to our database, Sebastian Musslick authored at least 23 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of two.

2024

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, 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

CoRR, 2024

2023

Pushing the Bounds of Bounded Optimality and Rationality.

Sebastian Musslick, Javier Masís

Cogn. Sci., April, 2023

GFN-SR: Symbolic Regression with Generative Flow Networks.

Sida Li, Ioana Marinescu, Sebastian Musslick

CoRR, 2023

A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks.

Ryan Pyle, Sebastian Musslick, Jonathan D. Cohen, Ankit B. Patel

CoRR, 2023

2022

A Benchmark for Compositional Visual Reasoning.

Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search.

Sebastian Musslick

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

Regression, encoding, control: an integrated approach to shared representations with distributed coding.

Gregory Henselman-Petrusek, Tyler Giallanza, Sebastian Musslick, Jonathan Cohen

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

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

CoRR, 2020

Mental effort: One construct, many faces?

Sebastian Musslick, Maria Wirzberger, Ivan Grahek, Laura Bustamante, Amitai Shenhav, Jonathan D. Cohen

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Asymmetric Switch Costs as a Function of Task Strength.

Markus Spitzer, Sebastian Musslick, Michael Shvartsman, Amitai Shenhav, Jonathan D. Cohen

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Understanding interactions amongst cognitive control, learning and representation.

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

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Decomposing Individual Differences in Cognitive Control: A Model-Based Approach.

Sebastian Musslick, Jonathan D. Cohen, Amitai Shenhav

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

A Mechanistic Account of Constraints on Control-Dependent Processing: Shared Representation, Conflict and Persistence.

Sebastian Musslick, Jonathan D. Cohen

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Stability-Flexibility Dilemma in Cognitive Control: A Dynamical System Perspective.

Sebastian Musslick, Anastasia S. Bizyaeva, Shamay Agaron, Naomi Ehrich Leonard, Jonathan D. Cohen

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Rational metareasoning and the plasticity of cognitive control.

Falk Lieder, Amitai Shenhav, Sebastian Musslick, Thomas L. Griffiths

PLoS Comput. Biol., 2018

Efficiency of learning vs. processing: Towards a normative theory of multitasking.

Yotam Sagiv, Sebastian Musslick, Yael Niv, Jonathan D. Cohen

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Constraints associated with cognitive control and the stability-flexibility dilemma.

Sebastian Musslick, Seong Jun Jang, Michael Shvartsman, Amitai Shenhav, Jonathan D. Cohen

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Estimating the costs of cognitive control from task performance: theoretical validation and potential pitfalls.

Sebastian Musslick, Jonathan D. Cohen, Amitai Shenhav

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

A graph-theoretic approach to multitasking.

Noga Alon, Daniel Reichman, Igor Shinkar, Tal Wagner, Sebastian Musslick, Jonathan D. Cohen, Tom Griffiths, Biswadip Dey, Kayhan Özcimder

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 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

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Multitasking Capability Versus Learning Efficiency in Neural Network Architectures.

Sebastian Musslick, Andrew Saxe, Kayhan Özcimder, Biswadip Dey, Greg Henselman, Jonathan D. Cohen

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

A Graph-Theoretic Approach to Multitasking.

Jonathan D. Cohen, Biswadip Dey, Tom Griffiths, Sebastian Musslick, Kayhan Özcimder, Daniel Reichman, Igor Shinkar, Tal Wagner

CoRR, 2016

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

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016