428 citations · 1k across the 19 of their papers we have counts for
21 papers
Violations of the fluctuation-dissipation theorem reveal distinct non-equilibrium dynamics of brain states
Gustavo Deco, Christopher Lynn, Yonatan Sanz Perl +1
The brain is a non-equilibrium system whose dynamics change in different brain states, such as wakefulness and deep sleep. Thermodynamics provides the tools for revealing these non…
Information content of note transitions in the music of J. S. Bach
Suman Kulkarni, Sophia U. David, Christopher W. Lynn +1
Music has a complex structure that expresses emotion and conveys information. Humans process that information through imperfect cognitive instruments that produce a gestalt, smeare…
Emergent scale-free networks
Christopher W. Lynn, Caroline M. Holmes, Stephanie E. Palmer
Many complex systems--from social and communication networks to biological networks and the Internet--are thought to exhibit scale-free structure. However, prevailing explanations…
Curiosity as filling, compressing, and reconfiguring knowledge networks
Shubhankar P. Patankar, Dale Zhou, Christopher W. Lynn +6
Due to the significant role that curiosity plays in our lives, several theoretical constructs, such as the information gap theory and compression progress theory, have sought to ex…
Emergence of local irreversibility in complex interacting systems
Christopher W. Lynn, Caroline M. Holmes, William Bialek +1
Living systems are fundamentally irreversible, breaking detailed balance and establishing an arrow of time. But how does the evident arrow of time for a whole system arise from the…
Citation inequity and gendered citation practices in contemporary physics
Erin G. Teich, Jason Z. Kim, Christopher W. Lynn +8
The historical and contemporary under-attribution of women's contributions to scientific scholarship is well-known and well-studied, with effects that are felt today in myriad ways…
Decomposing the local arrow of time in interacting systems
Christopher W. Lynn, Caroline M. Holmes, William Bialek +1
We show that the evidence for a local arrow of time, which is equivalent to the entropy production in thermodynamic systems, can be decomposed. In a system with many degrees of fre…
Optimizing the Human Learnability of Abstract Network Representations
William Qian, Christopher W. Lynn, Andrei A. Klishin +3
Precisely how humans process relational patterns of information in knowledge, language, music, and society is not well understood. Prior work in the field of statistical learning h…
Compressibility of complex networks
Christopher W. Lynn, Danielle S. Bassett
Many complex networks depend upon biological entities for their preservation. Such entities, from human cognition to evolution, must first encode and then replicate those networks…
How We Learn About our Networked World
Sophia U. David, Sophie E. Loman, Christopher W. Lynn +2
When presented with information of any type, from music to language to mathematics, the human mind subconsciously arranges it into a network. A network puts pieces of information l…
Broken detailed balance and entropy production in the human brain
Christopher W. Lynn, Eli J. Cornblath, Lia Papadopoulos +2
Living systems break detailed balance at small scales, consuming energy and producing entropy in the environment in order to perform molecular and cellular functions. However, it r…
Relations between large scale brain connectivity and effects of regional stimulation depend on collective dynamical state
Lia Papadopoulos, Christopher W. Lynn, Demian Battaglia +1
At the macroscale, the brain operates as a network of interconnected neuronal populations, which display rhythmic dynamics that support interareal communication. Understanding how…
Efficient Coding in the Economics of Human Brain Connectomics
Dale Zhou, Christopher W. Lynn, Zaixu Cui +9
In systems neuroscience, most models posit that brain regions communicate information under constraints of efficiency. Yet, evidence for efficient communication in structural brain…
How humans learn and represent networks
Christopher W. Lynn, Danielle S. Bassett
Humans communicate, receive, and store information using sequences of items -- from words in a sentence or notes in music to abstract concepts in lectures and books. The networks f…
Human information processing in complex networks
Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn +1
Humans communicate using systems of interconnected stimuli or concepts -- from language and music to literature and science -- yet it remains unclear how, if at all, the structure…
The physics of brain network structure, function, and control
Christopher W. Lynn, Danielle S. Bassett
The brain is a complex organ characterized by heterogeneous patterns of structural connections supporting unparalleled feats of cognition and a wide range of behaviors. New noninva…
Abstract representations of events arise from mental errors in learning and memory
Christopher W. Lynn, Ari E. Kahn, Nathaniel Nyema +1
Humans are adept at uncovering abstract associations in the world around them, yet the underlying mechanisms remain poorly understood. Intuitively, learning the higher-order struct…
Maximizing Activity in Ising Networks via the TAP Approximation
Christopher W. Lynn, Daniel D. Lee
A wide array of complex biological, social, and physical systems have recently been shown to be quantitatively described by Ising models, which lie at the intersection of statistic…
Surges of collective human activity emerge from simple pairwise correlations
Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee +1
Human populations exhibit complex behaviors---characterized by long-range correlations and surges in activity---across a range of social, political, and technological contexts. Yet…
Optimally Influencing Complex Ising Systems
Christopher Lynn, Daniel D. Lee
In the study of social networks, a fundamental problem is that of influence maximization (IM): How can we maximize the collective opinion of individuals in a network given constrai…
Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution
Christopher Lynn, Daniel D. Lee
Influence maximization in social networks has typically been studied in the context of contagion models and irreversible processes. In this paper, we consider an alternate model th…