activity
20182023
most citedTime-evolving controllability of effective connectivity networks during seizure progression

86 citations · 103 across the 8 of their papers we have counts for

collaborators

9 papers

q-bio.NC2023

Human Learning of Hierarchical Graphs

Xiaohuan Xia, Andrei A. Klishin, Jennifer Stiso +4

Humans are constantly exposed to sequences of events in the environment. Those sequences frequently evince statistical regularities, such as the probabilities with which one event…

cs.DL2022★ 2 cited

Modeling observed gender imbalances in academic citation practices

Jennifer Stiso, Kendra Oudyk, Maxwell M. Bertolero +5

In multiple academic disciplines, having a perceived gender of `woman' is associated with a lower than expected rate of citations. In some fields, that disparity is driven primaril…

physics.soc-ph2021★ 7 cited

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…

q-bio.NC2020★ 5 cited

Is the brain macroscopically linear? A system identification of resting state dynamics

Erfan Nozari, Maxwell A. Bertolero, Jennifer Stiso +6

A central challenge in the computational modeling of neural dynamics is the trade-off between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are bo…

q-bio.NC2020★ 86 cited

Time-evolving controllability of effective connectivity networks during seizure progression

Brittany H. Scheid, Arian Ashourvan, Jennifer Stiso +5

Over one third of the estimated 3 million people with epilepsy in the US are medication resistant. Responsive neurostimulation from chronically implanted electrodes provides a prom…

q-bio.NC2019

A practical guide to methodological considerations in the controllability of structural brain networks

Teresa M. Karrer, Jason Z. Kim, Jennifer Stiso +4

Predicting how the brain can be driven to specific states by means of internal or external control requires a fundamental understanding of the relationship between neural connectiv…