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Chatgpt & Brain-Computer Interfaces Vibe Coding For All - OneDDL - 08-22-2025 Free Download Chatgpt & Brain-Computer Interfaces: Vibe Coding For All Published 8/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 791.36 MB | Duration: 1h 18m Without Programming Skills Guide how we can connect our brain with AI (ChatGPT) via Brain-computer interface What you'll learn Understanding how to Vibe Coding to ChatGPT create Machine learning algorithms for EEG feature extraction Understanding how to use OpenAI to maje feature extraction from EEG data Connecting Brain-Computer Interface to OpenAI and feature extraction in real-time No programming experience need it, you will find all in the cruise Requirements Gmail OpenAI account OpenAI key Knowledge about neuroscience Description Lecture 1: IntroductionIntroduction to the course. Why do we need it? Why Large Language Model and ChatGPT? Limitations of standart machine learning implementation and prospects for Large Language Model models? Lecture 2: Hardware for Brain-Computer InterfaceIntroduction to Hardware. How to measure EEG, Difference between real-time and non-real-time applications, etc Lecture 3: Dataset for the CourseWhere to find a dataset for EEG research. How to choose a dataset, etc. Introduction to the dataset. Lecture 4: Machine Learning with Vibe Coding to detect emotions via EEGHow to create a machine learning model via Vibe coding to detect the Emotional stage via EEG signals Lecture 5: EEG detects emotions via OpenAIConnect OpenAI and start making feature extraction from EEG data directly in ChatGPT Lecture 6: Signal Processing and Feature Extraction with OpenAICreate signal processing via vibe coding and continue to make feature extraction via OpenAI Lecture 7. Brain-computer interface connects to OpenAI to make feature extraction from EEGConnect the ironbci Brain-computer interface to OpenAI. Send data from BCI directly to OpenAI for feature extraction Lecture 8. How to improve the Result. ConclusionHow can we improve accuracy, future steps, and prospect direction for Large Language Model and EEG Individuals with a strong interest in EEG and brain-computer interfaces who want to explore the technical aspects of EEG signal processing as a hobby or personal project.,Graduate and advanced undergraduate students in fields such as neuroscience, biomedical engineering, data science, and psychology, as well as educators looking to integrate EEG signal processing into their curriculum.,Neuroscientists and Researchers: Professionals and academics who want to leverage Python for analyzing EEG data to advance their research in neuroscience and related fields.,For neuro enthusiasts Homepage [To see links please register or login] Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [To see links please register or login] No Password - Links are Interchangeable