John M. Beggs

This study examines how elevated magnesium affects neuronal network dynamics in cortical cultures, finding increased burstiness and changes in information processing.

The paper identifies preictal biomarkers in epilepsy by analyzing network features from electrocorticographic data and uses them to predict seizure onset with a Support Vector Machine.

The paper introduces Living Neurosheets, modular neural systems that enable scalable, bio-inspired neural architectures with spatial control and multimodal integration.

The paper introduces a modular, open-source platform for interfacing with living neurons, enabling scalable and versatile recording and stimulation across various neural cultures and applications.

The paper studies how neuronal network topology evolves in vitro by analyzing electrophysiological signals from rat hippocampal cultures, finding increasing integration and complex topological features.

This study uses recurrent neural networks to test the two-streams hypothesis, finding that viewpoint-invariant object classification requires longer memory than orientation/size determination.

The paper shows that inhibitory neurons dominate the rich-club structure in cortical microcircuits, influencing network dynamics through increased synchrony and longer neuronal avalanches.

This study compares how propofol and ketamine affect brain dynamics during anaesthesia, finding propofol reduces complexity and restricts critical dynamics more than ketamine.

This paper develops a statistical model to detect synaptic connections from spike recordings by separating fast synaptic effects from slow background fluctuations and incorporating network properties.

The paper investigates how synergistic integration in neural networks relates to the directionality of information flow, finding that recurrent flow increases and feedback flow decreases synergistic integration.

The paper investigates how correlated neuronal activity relates to synergistic processing in cortical circuits at different timescales, finding a positive relationship at synaptic timescales and a negative one at longer timescales.

The paper investigates whether rich club neurons in cortical circuits perform more computation than non-rich club neurons and finds they do, suggesting information propagation drives computation.