John M. Beggs
Affiliations: | Indiana University, Bloomington, Bloomington, IN, United States |
Area:
network dynamics, LTP, computational neuroscienceWebsite:
http://biocomplexity.indiana.edu/research/info/beggs.phpGoogle:
"John Beggs"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) | S | N | B | C | P |
Parents
Sign in to add mentorTom Brown | grad student | 1990-1998 | Yale |
Dietmar Plenz | post-doc | 1999-2003 | NIMH/NIH |
Children
Sign in to add traineeThomas 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 |
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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 |