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researcher

John M. Beggs

2 papers hereh-index 214 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cond-mat.dis-nn2

identity via Semantic Scholar / OpenAlex

works on
directed percolation 1inhibition 1mean-field theory 1neural network dynamics 1phase transitions 1quasi-criticality 1

From the 1 of 2 linked papers with an AI index.

collaborators

2 papers

cond-mat.dis-nn2026

A Minimal Network of Brain Dynamics: Hierarchy of Approximations to Quasi-critical Neural Network Dynamics

Jeremy B. Goetz, Naruepon Weerawongphrom, Rashid V. Williams-García +2

The paper introduces a neural network model with multiple inhibitory interactions and uses a hierarchy of mean‑field approximations to analyze nonequilibrium phase transitions betw…

cond-mat.dis-nn2025

Toward a Physics of Deep Learning and Brains

Arsham Ghavasieh, Meritxell Vila-Minana, Akanksha Khurd +3

Deep neural networks and brains both learn and share superficial similarities: processing nodes are likened to neurons and adjustable weights are likened to modifiable synapses. Bu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.