RT-Sort: An action potential propagation-based algorithm for real time spike detection and sorting with millisecond latencies DOI Creative Commons
Tjitse van der Molen, Max Lim, Julian Bartram

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0312438 - e0312438

Published: Dec. 5, 2024

With the use of high-density multi-electrode recording devices, electrophysiological signals resulting from action potentials individual neurons can now be reliably detected on multiple adjacent electrodes. Spike sorting assigns these to putative neural sources. However, until now, spike only performed after completion recording, preventing true real time usage algorithms. Utilizing unique propagation patterns along axons as high-fidelity sequential activations electrodes, together with a convolutional network-based detection algorithm, we introduce RT-Sort (Real Time Sorting), algorithm that enables sorted within 7.5ms±1.5ms (mean±STD) waveform trough while remains ongoing. RT-Sort’s real-time capabilities enable closed loop experiments latencies comparable synaptic delay times. We show performance both Multi-Electrode Arrays well Neuropixels probes exemplify functionality different types hardware and electrode configurations.

Language: Английский

Large scale, simultaneous, chronic neural recordings from multiple brain areas DOI Creative Commons
Maxwell D Melin,

Anup Khanal,

Marvin Vasquez

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 23, 2023

Abstract Understanding how brain activity is related to animal behavior requires measuring multi-area interactions on multiple timescales. However, methods perform chronic, simultaneous recordings of neural from many areas are lacking. Here, we introduce a novel approach for independent chronic probe implantation that enables flexible, interrogation regions during head restrained or freely moving behavior. The approach, called indie ( in dependent d ovetail implants e lectrophysiology), repeated retrieval and reimplantation probes. can be combined with other modalities such as skull clearing cortex wide access optogenetics optic fibers. Using this implanted 6 probes chronically one hemisphere the mouse brain. implant lightweight, allows flexible targeting different angles, offers enhanced stability. Our broadens applications recording while retaining its main advantages over acute (superior stability, longitudinal monitoring interrogations) provides an appealing venue study processes not accessible by methods, substrate learning across areas.

Language: Английский

Citations

14

Large-scale single-neuron recording using the uFINE array in human cortex DOI
Shun Wu, Zhiqiang Yan, Christina S. Kong

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: April 19, 2025

SUMMARY Monitoring neural population activity at single-cell resolution is essential for driving fundamental research and clinical innovations. However, translating advanced recording techniques from animal models to humans remains a significant challenge. Flexible electrodes have recently emerged as powerful tools large-scale single-unit recordings due their superior biocompatibility high density. Here, we demonstrate reliable, high-density during intraoperative procedures in human patients using u ltra- F lexible I mplantable N eural E lectrode (uFINE) arrays. The uFINE array exhibited sufficient mechanical robustness maintain structural integrity throughout surgical operations. We successfully recorded 616 single units 10 patients, with up 135 simultaneously recorded. flexibility of minimized signal disturbances brain pulsations, enabling stable continuous detection. Stimulus response tuning were observed the level individual neurons awake patients. This uFINE-based approach offers unique opportunities investigate human-specific cognitive functions develop next-generation brain-machine interfaces.

Language: Английский

Citations

0

RT-Sort: An action potential propagation-based algorithm for real time spike detection and sorting with millisecond latencies DOI Creative Commons
Tjitse van der Molen, Max Lim, Julian Bartram

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0312438 - e0312438

Published: Dec. 5, 2024

With the use of high-density multi-electrode recording devices, electrophysiological signals resulting from action potentials individual neurons can now be reliably detected on multiple adjacent electrodes. Spike sorting assigns these to putative neural sources. However, until now, spike only performed after completion recording, preventing true real time usage algorithms. Utilizing unique propagation patterns along axons as high-fidelity sequential activations electrodes, together with a convolutional network-based detection algorithm, we introduce RT-Sort (Real Time Sorting), algorithm that enables sorted within 7.5ms±1.5ms (mean±STD) waveform trough while remains ongoing. RT-Sort’s real-time capabilities enable closed loop experiments latencies comparable synaptic delay times. We show performance both Multi-Electrode Arrays well Neuropixels probes exemplify functionality different types hardware and electrode configurations.

Language: Английский

Citations

0