Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Thank you for your code and very impressive explainaton #3

Open
Jianfengliu0413 opened this issue Jun 24, 2024 · 1 comment
Open

Thank you for your code and very impressive explainaton #3

Jianfengliu0413 opened this issue Jun 24, 2024 · 1 comment

Comments

@Jianfengliu0413
Copy link

Thank you for your code and very impressive explanation,
I am a spike-sorting beginner. I have a stupid question, the example shown used a single-channel ncs file. How to handle the multiple channel data. when the recording lasts a few hours or even more.

i have an idea(stupid again),
e.g., 32 channels last 6 hours.
cut the 6 hours into 1-minute epochs?
then detect spikes for all 32 channels?

many thanks for considering my request. I am always confused about how to manage this.

@akcarsten
Copy link
Owner

Hi @Jianfengliu0413,
sorry for my delayed response just saw your message. The approch that you outlined in your comment will most likely identify spikes within the each epoch but will define different clusters for every epoch. Therefore you will have a hard time monitoring the activity of the same cluster across your recording.

The code in this notebook is an outline of the common principle of spike sorting. However, it is not a state of the art method.
I recommend for datasets like yours to use more advanced and peer-reviewed approaches like Kilo-Sort.

Paper is here: https://www.nature.com/articles/s41592-024-02232-7

Hope that helps,
Carsten

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants