LabCompass

John M. Beggs

Neuroscience · Indiana University

Publications

110

Citations

8,248

Est. group size

Recurring co-author estimate

Active years

42

Publishing since 1984

Research summary
AI-generated

John M. Beggs studies how networks of neurons process and transmit information, with a particular focus on the idea that the brain operates near a 'critical point'—a delicately balanced state that may optimize how activity spreads. Much of the work uses living neural cultures grown in the lab (in vitro) to record and analyze the collective firing of neurons, including phenomena called 'neuronal avalanches.' The research combines experimental neuroscience with computational and mathematical modeling of network structure and dynamics.

Criticality in brain networks (the 'critical brain' hypothesis)Information processing in neuronal networksLiving neural cultures and lab-grown neural interfacesNeuronal avalanches and collective dynamicsComputational modeling of neural connectivity

Publication activity peaked around 2020–2022 and has been somewhat lower and variable in the most recent years, averaging about three publications per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.2/year recently
2017: 3 publications172018: 3 publications182019: 3 publications192020: 11 publications11202021: 6 publications212022: 6 publications222023: 4 publications232024: 2 publications242025: 4 publications2526
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×12
  • PLoS Computational Biology×3
  • Network Neuroscience×3
  • arXiv (Cornell University)×3
  • Frontiers in Physiology×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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