Paul K. Hansma

The paper develops a recurrent neural network model to explain chronic pain development and recovery, showing that calming stimuli can reduce pain without pharmacological intervention.

This study shows that structured firing sequences emerge in human and murine brain organoids and neonatal brain slices, suggesting innate rather than experience-dependent neural coding.

RT-Sort detects and sorts action potentials in real time with millisecond latencies using propagation patterns and a convolutional neural network.

This study uses high-density electrode arrays to analyze neural activity in human brain organoids, revealing functional connectivity patterns and responses to benzodiazepine treatment.

This paper introduces an automated method to detect extracellular action potentials from individual neurons, insensitive to waveform changes, enabling high-content screening with MEAs.

This paper demonstrates the use of multi-electrode arrays to record action potential propagation in single axons, revealing insights into axonal physiology and excitability changes over time.

MEA Viewer provides a high-performance interactive tool for visualizing electrophysiological data from multi-electrode arrays, enabling direct visualization of action potential propagation.

The paper validates in silico predictions of inhibitory neuronal connections using a Neural Circuit Probe through experimental interventions.