David F. Parks

Multiscale Cloud-based Pipeline for Neuronal Electrophysiology Analysis and Visualization

The paper presents a cloud-based pipeline for analyzing and visualizing neuronal electrophysiology data from HD-MEAs, demonstrating its utility in simplifying data analysis and understanding neural activity.

SpikeLab: Agentic tools for spike data analysis

SpikeLab is a text-to-analysis framework for neural spike data that ensures correct and reproducible results using agentic systems, outperforming other models in a controlled benchmark.

Goal-Directed Learning in Cortical Organoids

This study demonstrates goal-directed learning in cortical organoids using a closed-loop electrophysiology framework and artificial reinforcement learning.

A feedback-driven brain organoid platform enables automated maintenance and high-resolution neural activity monitoring

This paper introduces an automated brain organoid platform with IoT integration for continuous monitoring and control, showing increased neural activity and stable firing rates during automated media exchange.

RT-Sort: an action potential propagation-based algorithm for real time spike detection and sorting with millisecond latencies

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

Pathological microcircuits and epileptiform events in patient hippocampal slices

The paper uses high-density electrophysiology to study epileptiform activity in human hippocampal slices from epilepsy patients, revealing unexpected network oscillations in dentate gyrus slices.

A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior.

The paper identifies a high-frequency, millisecond-scale brain state embedding that persists across sleep and wake states and correlates with behavior.

Transcriptomic cell type structures in vivo neuronal activity across multiple time scales.

The paper investigates whether transcriptomic cell type can be inferred from neuronal activity timing across multiple time scales using deep learning.

Light-weight Electrophysiology Hardware and Software Platform for Cloud-Based Neural Recording Experiments

The paper introduces Piphys, an open-source platform for neural recording that enables remote control and scalability through cloud-based software and low-cost hardware.