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“Spike sorting”

“Spike sorting”. Kenneth D. Harris University College London. Brain contains billions of neurons. United states BRAIN initiative: $1billion. EU Human Brain project: €1billion. Silicon Microelectrodes. www.neuronexustech.com. Extracellular voltage field. C. Gold et al, J. Neurophysiol 2006.

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“Spike sorting”

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  1. “Spike sorting” Kenneth D. Harris University College London

  2. Brain contains billions of neurons

  3. United states BRAIN initiative: $1billion EU Human Brain project: €1billion

  4. Silicon Microelectrodes www.neuronexustech.com

  5. Extracellular voltage field C. Gold et al, J. Neurophysiol 2006

  6. “Tetrode effect” • Different cells have different waveform/amplitude profiles across channels • Allows about 15 neurons to be distinguished by a single tetrode

  7. Traditional pipeline Einevoll et al, CurrOppNeuro 2012

  8. Traditional clustering approach • Mixture of Gaussians fit (12 dimensions) • Manual verification and adjustment https://github.com/klusta-team/klustaviewa

  9. Error rates Harris et al, J. Neurophysiol, 2000

  10. High density probes

  11. One approach • Local spike detection based on spatiotemporal continuity • “Masked EM algorithm” for cluster analysis based on local features “Mask vectors” show which channels have data http://arxiv.org/abs/1309.2848 https://github.com/klusta-team/klustakwik

  12. Thanks! UCL: CyrilleRossant (KlustaViewa) ShabnamKadir (KlustaKwik, SpikeDetekt) Harvard: Dan Goodman (KlustaKwik, SpikeDetekt) Berkeley: John Schulman (SpikeDetekt) NYU: Gyorgy Buzsaki, Mariano Beluscio (Data)

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