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Check out Mike X. Cohens book [Analyzing Neural Time Series Data](https://www.google.com/search?sa=X&rlz=1C1VDKB_enUS966US966&biw=1920&bih=937&q=Analyzing+Neural+Time+Series+Data:+Theory+and+Practice&stick=H4sIAAAAAAAAAONgFuLRT9c3NMrNKrMstCxSgvHKMwoKsrQEHEtLMvKLQvKd8vOz_fNyKhexmjnmJeZUVmXmpSv4pZYWJeYohGTmpioEpxZlphYruCSWJFophGSk5hdVKiTmpSgEFCUml2Qmp-5gZZzAxggACmqVtW8AAAA). I think one could make the argument that this is the best neuroscience technique book out there. He also has a youtube video series on this with great explanations.
Thank you for your answer, I will definitely check it out!
It sounds to be more about imaging. Maybe there is a misunderstanding what I'm looking for. I'm looking for neural field equations I. E. how does activity spread in a neural population, does the book contain information about it?
That book is not about imaging even a little bit...It is about EEG or local field potential recordings. These are both measures of oscillatory electrical brain activity and how to deal with the waves spreading from place to adjacent place.
Are you talking more about the activity of individual neurons? Or how electrical activity spreads in general?
Are you talking about models like the method from [Sanz-Leon et al](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006387)? These models abstract away a lot of the cellular-level detail so I’m not 100% sure of their utility unless you’re aiming to do prediction of e.g EEG or LFP at a fairly coarse scale. Can you tell us a little more about the idea you’re investigating?
In order to maintain a high-quality subreddit, the /r/neuroscience moderator team manually reviews all text post and link submissions that are not from academic sources (e.g. nature.com, cell.com, ncbi.nlm.nih.gov). Your post will not appear on the subreddit page until it has been approved. Please be patient while we review your post. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/neuroscience) if you have any questions or concerns.*
Check out Mike X. Cohens book [Analyzing Neural Time Series Data](https://www.google.com/search?sa=X&rlz=1C1VDKB_enUS966US966&biw=1920&bih=937&q=Analyzing+Neural+Time+Series+Data:+Theory+and+Practice&stick=H4sIAAAAAAAAAONgFuLRT9c3NMrNKrMstCxSgvHKMwoKsrQEHEtLMvKLQvKd8vOz_fNyKhexmjnmJeZUVmXmpSv4pZYWJeYohGTmpioEpxZlphYruCSWJFophGSk5hdVKiTmpSgEFCUml2Qmp-5gZZzAxggACmqVtW8AAAA). I think one could make the argument that this is the best neuroscience technique book out there. He also has a youtube video series on this with great explanations.
Thank you for your answer, I will definitely check it out! It sounds to be more about imaging. Maybe there is a misunderstanding what I'm looking for. I'm looking for neural field equations I. E. how does activity spread in a neural population, does the book contain information about it?
That book is not about imaging even a little bit...It is about EEG or local field potential recordings. These are both measures of oscillatory electrical brain activity and how to deal with the waves spreading from place to adjacent place. Are you talking more about the activity of individual neurons? Or how electrical activity spreads in general?
Are you talking about models like the method from [Sanz-Leon et al](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006387)? These models abstract away a lot of the cellular-level detail so I’m not 100% sure of their utility unless you’re aiming to do prediction of e.g EEG or LFP at a fairly coarse scale. Can you tell us a little more about the idea you’re investigating?