Spike Sorting Algorithm
Budget $10-30 USD
Job Description:
• The feature space obtained for each electrode after applying Principal Component Analysis (PCA) to the aligned extracted spikes of each electrode. Use two principal components. Name the figures “[login to view URL]” for electrode 1 and “[login to view URL]” for electrode 2 for threshold of 3.5 times the standard deviation, and “[login to view URL]” for electrode 1 and “[login to view URL]” for electrode 2 for threshold of 5 times the standard deviation.
• A text file stating the number of clusters that you identified by visual inspection of the feature space of each electrode. Name the file “Number of [login to view URL]” for threshold of 3.5 times the standard deviation and “Number of [login to view URL]” for threshold of 5 times the standard deviation.
• A figure showing the first 20,000 samples of the raw data of each channel with an “*” marking the detected spikes colored with different colors depending on the neuron each spike belongs to. Name the figures “[login to view URL]” for electrode 1 and “[login to view URL]” for electrode 2 for threshold of 3.5 times the standard deviation, and “[login to view URL]” for electrode 1 and “[login to view URL]” for electrode 2 for threshold of 5 times the standard deviation.
• A figure showing the average spike of each neuron colored with different colors. Name the figure “[login to view URL]” for threshold of 3.5 times the standard deviation, and “[login to view URL]” for threshold of 5 times the standard deviation.
Note: You can use the PCA function available in Python. No need to re-implement it.
6 freelances font une offre moyenne de 47 $ pour ce travail
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