Neural Data Competition: Awards + Tactics

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  • เผยแพร่เมื่อ 9 ก.พ. 2025
  • Learn about the amazing tactics used to win the first UCSD Neural Data Competition!
    Original Event: / 341174150358396

ความคิดเห็น • 5

  • @Mohamm-ed
    @Mohamm-ed 4 ปีที่แล้ว +2

    Hello all thanks for this awesome channel. I'm new to EEG and machine learning. I'm looking for a complete EEG classification project (tutorials). I'm a little bit confused between labled eeg data and raw data without any lable. How can I start labeling the data and extract the features. Then applying machine learning algorithms. Hope you answer my questions really I love this feild but I tried to find something logically sorted tutorials but I couldn't.

    • @tritonneurotech3451
      @tritonneurotech3451  4 ปีที่แล้ว +1

      Hey! Yea so labeled data means that we know what the state of the subject is during the brain recording data. Usually this happens during the experiment phase. Feature extraction is an awesome topic, would highly recommend you check out the Feature Extraction 1 and 2 workshops on our channel!

    • @Mohamm-ed
      @Mohamm-ed 4 ปีที่แล้ว

      @@tritonneurotech3451 Thanks very much for replying. So If I have multiple csv files for different states and subjects I must label them first then merge the files in a single csv file?

    • @tritonneurotech3451
      @tritonneurotech3451  4 ปีที่แล้ว +1

      @@Mohamm-ed Sometimes neural data varies quite a bit between subjects + recording sessions so that might cause some information loss to concatenate all the subject's data, but if you maintain subject information then it'll be okay

    • @Mohamm-ed
      @Mohamm-ed 4 ปีที่แล้ว

      @@tritonneurotech3451 thanks again for your help