What is #neuronalSpiking? Neurons in the brain use electrical signals to communicate with each other and with the body. Each time a neuron is electrically active and this activity exceeds some threshold we can detect this activity as a spike.

Here, we used high-dimensional multielectrode arrays (HD-MEA) with thousands of electrodes, able to measure extracellular electrical potentials of single neurons. The recorded data consisted of raw voltage traces sampled at low frequency of 20 kHz for each of thr 4,096 recording channels. We implemented the reading of these data in #spikeinterface and could reuse the spikeinterface methods to run the spike detection and sorting with #Kilosort.

#SpikeSorting is important because, firstly, neuronal units may span over multiple electrodes, and secondly, an electrode may measure activity from multiple nearby neuronal units. To study biological questions it was essential to measure the spiking activity of real neuronal units instead of electrodes.

Using simulated data with known ground truth spike times, we used #Kilosort 2.5 to evaluate spike sorting performance. WavPack Hybrid does not affect spike sorting accuracy, even at maximum compression levels (~14% file size).

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Here are some interesting tables from it...
I wonder how well it works with #Tetrodes and in the #Hippocampus given the special shape of #ComplexSpikes 🤔​

If you try it please let us know what you think!!

#Kilosort #Electrophysiology #SpikeSorting
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