J
John M. Beggs
Researcher at Indiana University
Publications - 79
Citations - 7100
John M. Beggs is an academic researcher from Indiana University. The author has contributed to research in topics: Artificial neural network & Information processing. The author has an hindex of 28, co-authored 74 publications receiving 6058 citations. Previous affiliations of John M. Beggs include Virginia Bioinformatics Institute & National Institutes of Health.
Papers
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Journal ArticleDOI
Simple spontaneously active Hebbian learning model: Homeostasis of activity and connectivity, and consequences for learning and epileptogenesis
TL;DR: It is argued that a neural system that is more highly connected than the critical state (i.e., one that is "supercritical") is epileptogenic, and interventions that boost spontaneous activity should be protective against epileptogenesis.
Journal ArticleDOI
A novel cross-frequency coupling detection method using the generalized Morse wavelets.
A. Nakhnikian,Shinya Ito,Lucas L. Dwiel,L.M. Grasse,George V. Rebec,L.N. Lauridsen,John M. Beggs +6 more
TL;DR: A wavelet-based CFC detection algorithm that efficiently searches a range of frequencies using a sequence of filters with optimal trade-off between time and frequency resolution is derived and is particularly useful for exploratory studies.
Rich-Club Organization in Effective Connectivity among Cortical Neurons.
Sunny Nigam,Masanori Shimono,Shinya Ito,Fang-Chin Yeh,Nicholas M. Timme,Maxym Myroshnychenko,Christopher C. Lapish,Zachary Tosi,Pawel Hottowy,Wesley C. Smith,Sotiris C. Masmanidis,Alan M. Litke,Olaf Sporns,John M. Beggs +13 more
TL;DR: This is the first study to combine such a large number of neurons (several hundred at a time) with such high temporal resolution (so the authors can know the direction of communication between neurons) for mapping networks within cortex and found that information was not transferred equally through all neurons.
Journal ArticleDOI
Differential effects of propofol and ketamine on critical brain dynamics.
TL;DR: This article explored critical brain dynamics in invasive ECoG recordings from multiple sessions with a single macaque as the animal transitioned from consciousness to unconsciousness under different anaesthetics (ketamine and propofol).
Posted Content
Multivariate information measures: an experimentalist's perspective
TL;DR: The information theory behind each information measure is reviewed, as well as the differences between these measures are examined by applying them to several simple model systems.