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 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.