Live Demonstration: An Efficient Hardware for Real-time Multi-channel Spike Sorting with Localization

This work presents L-Sort, the first localization-based spike sorting accelerator on a miniaturized chip hardware (FPGA). Spike sorting, crucial for neural activity analysis, involves detecting, extracting, and clustering spikes. L-Sort uses geometric data to localize spikes, reducing the need for e...

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Bibliographic Details
Published inBiomedical Circuits and Systems Conference p. 1
Main Authors Han, Yuntao, Wang, Shiwei, Hamilton, Alister
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.10.2024
Subjects
Circuits and systems
Data visualization
Feeds
Field programmable gate arrays
Hardware
Location awareness
Neural activity
Real-time systems
Sorting
Online AccessGet full text
ISSN2766-4465
DOI10.1109/BioCAS61083.2024.10798294

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Summary:This work presents L-Sort, the first localization-based spike sorting accelerator on a miniaturized chip hardware (FPGA). Spike sorting, crucial for neural activity analysis, involves detecting, extracting, and clustering spikes. L-Sort uses geometric data to localize spikes, reducing the need for extensive waveform retention. The system includes a ZCU104 FPGA board and a computer for real-time visualization. Visitors will feed raw Neuropixel data into the FPGA and observe real-time sorted spike trains.
ISSN:2766-4465
DOI:10.1109/BioCAS61083.2024.10798294