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Showing 1 - 18 results of 18 for search '(((("data modeling algorithm") OR ("spike sorting algorithms"))) OR ("element data algorithm"))', query time: 0.42s Refine Results
  1. 1
    <b>SpikeMAP: An unsupervised spike sorting pipeline for cortical excitatory and inhibitory neurons in high-density multielectrode arrays</b>

    <b>SpikeMAP: An unsupervised spike sorting pipeline for cortical excitatory and inhibitory neurons in high-density multielectrode arrays</b> by Jean-Philippe Thivierge (9007928)

    Published 2025
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  2. 2
    Examples of detected units with varying spike waveforms.

    Examples of detected units with varying spike waveforms. by Tjitse van der Molen (20391106)

    Published 2024
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  3. 3
    Action potential detection with high temporal accuracy using a convolutional neural network (CNN).

    Action potential detection with high temporal accuracy using a convolutional neural network (CNN). by Tjitse van der Molen (20391106)

    Published 2024
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  4. 4
    Detection statistics for a mouse <i>in vivo</i> Neuropixels recording.

    Detection statistics for a mouse <i>in vivo</i> Neuropixels recording. by Tjitse van der Molen (20391106)

    Published 2024
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  5. 5
    Precision and recall for Kilosort2 detections.

    Precision and recall for Kilosort2 detections. by Tjitse van der Molen (20391106)

    Published 2024
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  6. 6
    RT-Sort parameters.

    RT-Sort parameters. by Tjitse van der Molen (20391106)

    Published 2024
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  7. 7
    Electrode locations justify the 50μm distance threshold.

    Electrode locations justify the 50μm distance threshold. by Tjitse van der Molen (20391106)

    Published 2024
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  8. 8
    Real time spike sorting with latencies in the range of synaptic transmission.

    Real time spike sorting with latencies in the range of synaptic transmission. by Tjitse van der Molen (20391106)

    Published 2024
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  9. 9
    Spike sorting performance dependence on pre-recording duration.

    Spike sorting performance dependence on pre-recording duration. by Tjitse van der Molen (20391106)

    Published 2024
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  10. 10
    Spike cluster splitting based on amplitude and interelectrode interval distribution.

    Spike cluster splitting based on amplitude and interelectrode interval distribution. by Tjitse van der Molen (20391106)

    Published 2024
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  11. 11
    Action potential detection with high temporal accuracy using a convolutional neural network (CNN).

    Action potential detection with high temporal accuracy using a convolutional neural network (CNN). by Tjitse van der Molen (20391106)

    Published 2024
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  12. 12
    Schematic illustration of spike detection and sequence detection.

    Schematic illustration of spike detection and sequence detection. by Tjitse van der Molen (20391106)

    Published 2024
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  13. 13
    Examples of detected low amplitude units.

    Examples of detected low amplitude units. by Tjitse van der Molen (20391106)

    Published 2024
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  14. 14
    Gradient ascent forms genuine looking waveform shapes from recording noise.

    Gradient ascent forms genuine looking waveform shapes from recording noise. by Tjitse van der Molen (20391106)

    Published 2024
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  15. 15
    RT-Sort spike sorting performance on ground truth datasets.

    RT-Sort spike sorting performance on ground truth datasets. by Tjitse van der Molen (20391106)

    Published 2024
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  16. 16
    Examples of detected spikes with overlapping waveforms.

    Examples of detected spikes with overlapping waveforms. by Tjitse van der Molen (20391106)

    Published 2024
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  17. 17
    Recall on simulated ground truth recording.

    Recall on simulated ground truth recording. by Tjitse van der Molen (20391106)

    Published 2024
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  18. 18
    RT-Sort detects spikes with consistent propagations and amplitudes.

    RT-Sort detects spikes with consistent propagations and amplitudes. by Tjitse van der Molen (20391106)

    Published 2024
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