Signal Processing and Machine Learning for Brain-Machine Interfaces
Toshihisa Tanaka, Mahnaz Arvaneh
Informasi Umum
Kode
23.21.180
Klasifikasi
621.382 2 - Signal processing, Information theory
Jenis
Buku - Elektronik (E-Book)
Subjek
Signal Processing, Machine Learning,
No. Rak
Dilihat
92 kali
Informasi Lainnya
Abstraksi
Brain-machine interfacing or brain-computer interfacing (BMI/BCI) is an emerging and challenging technology used in engineering and neuroscience. The ultimate goal is to provide a pathway from the brain to the external world via mapping, assisting, augmenting or repairing human cognitive or sensory-motor functions. In this book an international panel of experts introduce signal processing and machine learning techniques for BMI/BCI and outline their practical and future applications in neuroscience, medicine, and rehabilitation, with a focus on EEG-based BMI/BCI methods and technologies. Topics covered include discriminative learning of connectivity pattern of EEG; feature extraction from EEG recordings; EEG signal processing; transfer learning algorithms in BCI; convolutional neural networks for event-related potential detection; spatial filtering techniques for improving individual template-based SSVEP detection; feature extraction and classification algorithms for image RSVP based BCI; decoding music perception and imagination using deep learning techniques; neurofeedback games using EEG-based Brain-Computer Interface Technology; affective computing system and more.
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | Toshihisa Tanaka, Mahnaz Arvaneh |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | IET |
| Kota | New York |
| Tahun | 2018 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
