IN PREPARATION:

• Christopher W. Lynn and Danielle S. Bassett. Compressibility of complex networks. In preparation.

• Sophia U. David, Lindsay Smith, Christopher W. Lynn, Lee C. Bassett, and Danielle S. Bassett. Human perception of the starry sky. In preparation.

SUBMITTED:

• Sophia U. David, Sophie E. Loman, Christopher W. Lynn, Ann S. Blevins, and Danielle S. Bassett. How we learn about our networked world. Submitted.
  arXiv

• Christopher W. Lynn, Eli J. Cornblath, Lia Papadopoulos, Maxwell A. Bertolero, and Danielle S. Bassett. Non-equilibrium dynamics and entropy production in the human brain. Submitted.
  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 Danielle S. Bassett. Efficient coding in the economics of human brain connectomics. In revision, Nature Neuroscience.
  bioRxiv

• Arian Ashourvan, Preya Shah, Adam Pines, Shi Gu, Christopher W. Lynn, Danielle S. Bassett, Katheryn A. Davis, and Brian Litt. A pairwise maximum entropy model uncovers the white matter scaffold underlying emergent dynamics in intracranial EEG. In revision, Communications Biology.
  bioRxiv

PUBLISHED:

• Lia Papadopoulos, Christopher W. Lynn, Demian Battaglia, and Danielle S. Bassett. Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state. Accepted, PLOS Computational Biology.
  arXiv

• Christopher W. Lynn and Danielle S. Bassett. How humans learn and represent networks. Accepted, Proceedings of the National Academy of Sciences.
  arXiv

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

• Christopher W. Lynn, Ari E. Kahn, Nathaniel Nyema, and Danielle S. Bassett. Abstract representations of events arise from mental errors in learning and memory. Nature Communications 11, 1 (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 Danielle S. Bassett. The physics of brain network structure, function, and control. Nature Reviews Physics 1 (2019).
  Nat Rev Phys | arXiv

• Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee, and Danielle S. Bassett. Surges of collective human activity emerge from simple pairwise correlations. Physical Review X 9, 011022 (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. EPL (Europhysics Letters) 117, 66001 (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. Journal of Modern Physics A 29, 1450179 (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