In preparation:

• Sophia U. David, Lindsay M. Smith, Mathiew Ouellet, Lee C. Bassett, Christopher W. Lynn*, and Dani S. Bassett*. Human perceptrion of the starry sky. In preparation. (*shared last author)

• Christopher W. Lynn, Qiwei Yu, Caroline M. Holmes, Rich Pang, Stephanie E. Palmer, and William Bialek. Maximally informative correlations in a large neuronal population. In preparation.

• Christopher W. Lynn, Qiwei Yu, Caroline M. Holmes, Rich Pang, Stephanie E. Palmer, and William Bialek. Exact statistical physics model of large-scale neuronal activity. In preparation.

• Qiwei Yu, Luca Di Carlo, and Christopher W. Lynn. Scaling of entropy production in nonequilibrium Ising models. In preparation.

• Richard E. Rosch, Dominic R. W. Burrows, Christopher W. Lynn, and Arian Ashourvan. Spontaneous brain activity emerges from pairwise interactions in the larval zebrafish brain. In preparation.

• Xiaohuan Xia, Andrei A. Klishin, Jennifer Stiso, Christopher W. Lynn, Ari E. Kahn, Lorenzo Caciagli, and Dani S. Bassett. Human learning of a hierarchical graph requires a longer time at higher hierarchical levels.

Submitted:

• Christopher W. Lynn, Caroline M. Holmes, and Stephanie E. Palmer. Heavy-tailed neuronal connectivity arises from Hebbian self-organization. In revision, Nature Physics. | bioRxiv

• Christopher W. Lynn, Caroline M. Holmes, and Stephanie E. Palmer. Emergent scale-free networks. Under review. | arXiv

• Gustavo Deco, Christopher W. Lynn, Yonatan Sanz Perl, and Morten L. Kringelbach. Violations of the fluctuation-dissipation theorem reveal distinct non-equilibrium dynamics of brain states. Under review.

• Shubhankar P. Patankar, Dale Zhou, Christopher W. Lynn, Jason Z. Kim, Mathieu Ouellet, Harang Ju, Perry Zurn, David M. Lydon-Staley, and Dani S. Bassett. Curiosity as filling, compressing, and reconfiguring knowledge networks. Under review. | arXiv

• Suman Kulkarni, Sophia U. David, Christopher W. Lynn, and Dani S. Bassett. Information content of note transitions in the music of J. S. Bach. Under review. | arXiv

Published:

• Erin G. Teich, Jason Z. Kim,  Christopher W. Lynn, Samantha C. Simon, Andrei A. Klishin, Karol P. Szymula, Pragya Srivastava, Lee C. Bassett, Perry Zurn, Jordan D. Dworkin, Dani S. Bassett. Citation inequity and gendered citation practices in contemporary physics. Nature Physics (2022). | Nat Phys | arXiv

  • • "Women researchers are cited less than men. Here’s why—and what can be done about it" | Science

• Christopher W. Lynn, Caroline M. Holmes, William Bialek, and David J. Schwab. Decomposing the local arrow of time in interacting systems. Physical Review Letters (2022). | PRL | arXiv

  • • Editors' Suggestion
    • “Decomposing the Local Arrow of Time in the Brain” | Physics
    • “Scientists Break the Direction of Time Down to the Cellular Level in Mind-Bending Study” | Vice

• Christopher W. Lynn, Caroline M. Holmes, William Bialek, and David J. Schwab. Emergence of local irreversibility in complex interacting systems. Physical Review E (2022). | PRE | arXiv

  • • Editors' Suggestion

• William Qian, Christopher W. Lynn, Andrei A. Klishin, Jennifer Stiso, Nicolas H. Christianson, and Dani S. Bassett. Optimizing the human learnability of abstract network representations: A Computational Study. Proceedings of the National Academy of Sciences (2022). | PNAS | arXiv

• Sophia U. David, Sophie E. Loman, Christopher W. Lynn, Ann S. Blevins, Mathieu Ouellet, and Dani S. Bassett. How we learn about our networked world. Frontiers for Young Minds (2022). | Front Young Minds | arXiv

• Dale Zhou, Christopher W. Lynn, Zaixu Cui, Rastko Ciric, Graham L. Baum, Tyler M. More, David R. Roalf, John A. Detre, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, and Dani S. Bassett. Efficient coding in the economics of human brain connectomics. Network Neuroscience (2022). | Netw Neurosci | bioRxiv

• Jennifer Stiso, Christopher W. Lynn, Ari E. Kahn, Vinitha Rangarajan, Karol P. Szymula, Ryan Archer, Andrew Revell, Joel M. Stein, Brian Litt, Kathryn A. Davis, Timothy H. Lucas, and Dani S. Bassett. Neurophysiological evidence for cognitive map formation during sequence learning. eNeuro (2022). | eNeuro | bioRxiv

• Christopher W. Lynn, Eli J. Cornblath, Lia Papadopoulos, Maxwell A. Bertolero, and Dani S. Bassett. Broken detailed balance and entropy production in the human brain. Proceedings of the National Academy of Sciences (2021). | PNAS | arXiv

• Christopher W. Lynn and Dani S. Bassett. Quantifying the compressibility of complex networks. Proceedings of the National Academy of Sciences (2021). | PNAS | arXiv

• Arian Ashourvan, Preya Shah, Adam Pines, Shi Gu, Christopher W. Lynn, Dani S. Bassett, Katheryn A. Davis, and Brian Litt. Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states. Communications Biology (2021). | Commun Biol | bioRxiv

• Christopher W. Lynn and Dani S. Bassett. How humans learn and represent networks. Proceedings of the National Academy of Sciences (2020). | PNAS | arXiv

• Lia Papadopoulos, Christopher W. Lynn, Demian Battaglia, and Dani S. Bassett. Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state. PLOS Computational Biology (2020). | PLOS Comput Biol | arXiv

• Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn, and Dani S. Bassett. Human information processing in complex networks. Nature Physics (2020). | Nat Phys | arXiv

  • • “What do ‘Bohemian Rhapsody,’ ‘Macbeth,’ and a list of Facebook friends all have in common?” | Penn Today

• Christopher W. Lynn, Ari E. Kahn, Nathaniel Nyema, and Dani S. Bassett. Abstract representations of events arise from mental errors in learning and memory. Nature Communications (2020). | Nat Commun | arXiv

  • • “To err is human, to learn, divine.” | Penn Today
    • “Sacrificing accuracy to see the big picture.” | American Physical Society
    • “Don’t worry about making a mistake. It’s how we learn.” | Big Think

• Christopher W. Lynn and Dani S. Bassett. The physics of brain network structure, function, and control. Nature Reviews Physics (2019). | Nat Rev Phys | arXiv

• Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee, and Dani S. Bassett. Surges of collective human activity emerge from simple pairwise correlations. Physical Review X (2019). | Phys Rev X | arXiv

• Christopher W. Lynn and Daniel D. Lee. Maximizing Activity in Ising Networks via the TAP Approximation. In Association for the Advancement of Artificial Intelligence (2018). | AAAI | arXiv

• Christopher W. Lynn and Daniel D. Lee. Statistical Mechanics of Influence Maximization with Thermal Noise. Europhysics Letters (2017). | EPL

• Christopher W. Lynn and Daniel D. Lee. Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution. In Advances in Neural Information Processing Systems (2016). | NIPS | arXiv

• Tanaji Sen and Christopher Lynn. Spectral Brilliance of Channeling Radiation at the ASTA Photoinjector. International Journal of Modern Physics A (2014). | Int J Mod Phys A | arXiv

• Ben Blomberg, Daniel Mihalcea, Harsha Panuganti, Philippe Piot, Charles Brau, Bo Choi, William Gabella, Borislav Ivanov, Marcus Mendenhall, Christopher Lynn, Tanaji Sen, Wolfgang Wagner. Planned High-Brightness Channeling Radiation Experiment at Fermilab’s Advanced Superconducting Test Accelerator. In International Particle Accelerator Conference (2014). | IPAC