☰ Neurotree

John M. Beggs

Affiliations:

Indiana University, Bloomington, Bloomington, IN, United States

Area:

network dynamics, LTP, computational neuroscience

Website:

http://biocomplexity.indiana.edu/research/info/beggs.php

Google:

Bio:

I got my PhD under Tom Brown of Yale, then did postdoctoral work under Dietmar Plenz of NIH.

Mean distance: 13.16 (cluster 17)

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Parents

Tom Brown	grad student	1990-1998	Yale
Dietmar Plenz	post-doc	1999-2003	NIMH/NIH

Children

Thomas F. Varley	grad student	2018-	Indiana University
Jonathan P. Hobbs	grad student	2010	Indiana University
Aonan Tang	grad student	2012	Indiana University
Shinya Ito	grad student	2013	Indiana University
Fang-Chin Yeh	grad student	2014	Indiana University
Nicholas Timme	grad student	2008-2015
Hadi Hafizi	grad student	2012-2017	Indiana University- Bloomington

Collaborators

BETA: Related publications

Publications

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Salners T, Avila KE, Nicholson B, et al. (2023) Recurrent activity in neuronal avalanches. Scientific Reports. 13: 4871
Beggs JM. (2022) Addressing skepticism of the critical brain hypothesis. Frontiers in Computational Neuroscience. 16: 703865
Newman EL, Varley TF, Parakkattu VK, et al. (2022) Revealing the Dynamics of Neural Information Processing with Multivariate Information Decomposition. Entropy (Basel, Switzerland). 24
Antonello PC, Varley TF, Beggs J, et al. (2022) Self-organization of in vitro neuronal assemblies drives to complex network topology. Elife. 11
Sherrill SP, Timme NM, Beggs JM, et al. (2021) Partial information decomposition reveals that synergistic neural integration is greater downstream of recurrent information flow in organotypic cortical cultures. Plos Computational Biology. 17: e1009196
Varley TF, Sporns O, Puce A, et al. (2020) Differential effects of propofol and ketamine on critical brain dynamics. Plos Computational Biology. 16: e1008418
Ju H, Kim JZ, Beggs JM, et al. (2020) Network structure of cascading neural systems predicts stimulus propagation and recovery. Journal of Neural Engineering
Ren N, Ito S, Hafizi H, et al. (2020) Model-based detection of putative synaptic connections from spike recordings with latency and type constraints. Journal of Neurophysiology
Sherrill SP, Timme NM, Beggs JM, et al. (2020) Correlated activity favors synergistic processing in local cortical networks in vitro at synaptically relevant timescales. Network Neuroscience (Cambridge, Mass.). 4: 678-697
Ao Z, Cai H, Havert DJ, et al. (2020) One-stop Microfluidic Assembly of Human Brain Organoids to Model Prenatal Cannabis Exposure. Analytical Chemistry

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