 Your JavaScript code for the IEEG underscore spectrum underscore 16 underscore chan underscore denoise underscore music app is comprehensive and seems well structured for processing EEG data and mapping it to musical notes. However, you mentioned a concern about the notes to play always being the same. This might be due to the way the EEG data is being processed and mapped to musical notes. Here's a specific approach to address this. Dynamic mapping in map EEG data to notes. Your map EEG data to notes function should dynamically map EEG data to musical notes. It currently seems to be mapping normalized power values to a range of notes. To make this mapping more sensitive to the changes in EEG data, you might need to adjust how you're normalizing and using these power values. Ensure that the EEG data's variability is being effectively captured and reflected in the normalized values. Review extract EEG data. Checking the sound still. Share this quickly just in case someone wants to join in. Get the name without actually that. You can close this because we're actually monitoring from the streaming app as well as YouTube APIs. Which is great. Quickly read this again. Your JavaScript code for the IEEG underscore spectrum underscore 16 underscore Chan underscore denoise underscore music app is comprehensive and seems well structured for processing EEG data and mapping it to musical notes. However, you mentioned a concern about the notes to play always being the same. This might be due to the way the EEG data is being processed and mapped to musical notes. Here's a specific approach to address this. Dynamic mapping in map EEG data to notes. Your map EEG data to notes function should dynamically map EEG data to musical notes. It currently seems to be mapping normalized power values to a range of notes. To make this mapping more sensitive to the changes in EEG data, you might need to adjust how you're normalizing and using these power values. Ensure that the EEG data's variability is being effectively captured and reflected in the normalized values. Review extract EEG data for music. Ensure that extract EEG data for music function is extracting a diverse range of data from different spectrums. If the extracted data lacks variability, this could lead to the same notes being generated. You might need to treat the logic here to capture more nuanced aspects of the EEG data that can translate into different musical notes. Verify EEG data variability. Check if the incoming EEG data itself is varied. If the data lacks variability, the output notes will likely be similar. Adjust normalization ranges. In normalized power, ensure that the min and max power ranges are set appropriately for your EEG data. Inappropriate ranges can lead to loss of variability after normalization. Testing with different data. Test the application with different EEG data samples to see if the output varies accordingly. This can help you determine. This is actually the first time for me that Github Cop Pilot gave a better response than GPT-4. Over here we are trying to normalize the power with each frequency band. You can see the numbers showing absolute values. We want them all to be between 0 and 1. By the way, this is the only case where I actually get a different note. Before I was getting C3, F3, B3, E4. And for this, it was at 5 seconds of EEG. I get a C sharp instead of C. That's not good enough. We want way more variability in the notes. That's what we will be addressing today. GPT-4 was suggesting doing it manually instead of using MAF mean marks functions. Only when prompted to use MAF mean marks, it's producing the same response as the Github Cop Pilot. Check if Github Cop Pilot made any other changes. I have this normalized power. It's making other changes as well. Just this structure of it, can insert it into the code. We calculate mean marks straight from the array. Let's comment this out quickly. Let's try it out. Let's make the same notes played. Check if that code is actually working. Let's console log it. Don't need this comment. Console log and marks power. It's 6C. It's doing it for each band. Some errors as well. It doesn't look right. It's doing it for the whole spectrum. Turn this off. This is better. We have a 1296. The next power will be just under 12. The whole spectrum turned off by default. We can do it in HTML. We'll do this with Github Cop Pilot. This switch. Can explain this for us quickly. I assume that's the default value. How to change default? Just remove the checked attribute. Try this. Control 5. Check the values. Mean power is around 0. Marks power 396. That makes sense. We have 196. That makes sense. Get some errors as well. Frequency undefined. In JavaScript. Line 86. This duration is 1 by default. I think we're sending it at 2.5. Volume should be fine. Getting an invalid frequency. Interesting. What is the frequency? It's just missing. Map noise. We get the nodes to frequency conversion. Potentially it doesn't work. Node to frequency conversion. Might be producing something funny. Let's call this Frick. Then return Frick. That's right. We want to monitor Frick. Log. Console. It can generate. It will return node in the frequency component. Let's see where the error is coming from. Node C3. That's a different error. Frequency. P3 frequency. 4 frequency. Okay. Getting nodes and frequency conversion seem to work fine. Then getting something undefined. It's a bit odd. Some technical issue I can hear. The nodes being played. What that error is coming from. I know where it's coming from. You know why. I'm getting it. The issue you're encountering is that the map EEG data to nodes function is generating an array of node names, like C3, F3, B3, E4. But when you try to play these nodes using a play frequency function, it's expecting frequency values, not node names. As a result, undefined is passed as the frequency, leading to the error. To fix this, you need to convert the node names to frequency values before attempting to play them. This can be done using a node to frequency function you've implemented. Here's how you can adjust your code. Modify the part where you play the nodes. Use node to frequency to convert each node name to its corresponding frequency. Pass this frequency to play frequency. Ensure node to frequency is correctly implemented. Double-check that your node to frequency. It's correct to convert the names to frequencies. So that's happening. I'm already doing this. In this adjusted code, the for each lubricates over nodes to play, which contains node names. Each node name is converted to a frequency using node to frequency. The frequency is then used to play the sound. Ensure that your node to frequency function covers all the node names that your application might generate. This change resolves the issue of undefined frequencies and allow your application to correctly play the map notes. The error went away. Yeah, I was getting the same nodes. I'm sure for a chin of four, not working well, let's just double-check. Delta should have been 155 or something power. Yeah, it's this one here, 163. 163 in the second one is 31. It's that one there. So let's legit.