Matching form and function of brain cell types NatureComms
). This toolkit can simulate a variety of intracellular dynamics , as well as compute additional data modalities such as the extracellular potential. The extracellular potentials were computed using the line-source approximation, which assumes that membrane current is uniformly distributed within individual computational compartments and the medium is homogenous and isotropic. Each model was simulated at a sampling rate of 30 kHz, identical to the acquisition rate of in vivo recordings.
. The extracellular action potential was calculated based on the spike-triggered average of extracellular potentials.Postprocessing included passing data through a 300 Hz high pass filter before extracting EAP waveforms. To classify cell types, we first extracted features from the extracellular waveform. With high-density electrodes, we can record extracellular waveforms of a single unit from multiple sites.
For the one-channel waveform , we calculated two features: TPW and REP . TPW measures the time that elapses from the EAP trough to the EAP peak . REP measures the time elapsed from the EAP peak to half of the peak value. These two EAP features capture different aspects of the intracellular potential, the speed of depolarization, and the subsequent after-hyperpolarization
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