Search Results for author: Christopher W. Lynn

Found 5 papers, 2 papers with code

Spontaneous brain activity emerges from pairwise interactions in the larval zebrafish brain

no code implementations12 Sep 2023 Richard E. Rosch, Dominic R. W. Burrows, Christopher W. Lynn, Arian Ashourvan

Brain activity is characterized by brain-wide spatiotemporal patterns which emerge from synapse-mediated interactions between individual neurons.

Human Learning of Hierarchical Graphs

no code implementations6 Sep 2023 Xiaohuan Xia, Andrei A. Klishin, Jennifer Stiso, Christopher W. Lynn, Ari E. Kahn, Lorenzo Caciagli, Dani S. Bassett

Using a serial response experiment with human participants (n=$100$), we replicate our predictions by detecting a surprisal effect at the finer-level of the hierarchy but not at the coarser-level of the hierarchy.

Graph Learning

Curiosity as filling, compressing, and reconfiguring knowledge networks

1 code implementation3 Apr 2022 Shubhankar P. Patankar, Dale Zhou, Christopher W. Lynn, Jason Z. Kim, Mathieu Ouellet, Harang Ju, Perry Zurn, David M. Lydon-Staley, Dani S. Bassett

We formalize curiosity as the process of building a growing knowledge network to quantitatively investigate information gap theory, compression progress theory, and the conformational change theory of curiosity.

Efficient Coding in the Economics of Human Brain Connectomics

1 code implementation14 Jan 2020 Dale Zhou, Christopher W. Lynn, Zaixu Cui, Rastko Ciric, Graham L. Baum, Tyler M. Moore, David R. Roalf, John A. Detre, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Danielle S. Bassett

In doing so, we introduce the metric of compression efficiency, which quantifies the trade-off between lossy compression and transmission fidelity in structural networks.

Structure from noise: Mental errors yield abstract representations of events

no code implementations31 May 2018 Christopher W. Lynn, Ari E. Kahn, Danielle S. Bassett

Humans are adept at uncovering abstract associations in the world around them, yet the underlying mechanisms remain poorly understood.

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