Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing

<p>The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book:</p><ul> <li>Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals</li> <li>Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition and brain-computer interface</li> <li>Highlights the latest machine learning and deep learning methods for neural signal processing</li> <li>Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis</li> <li>Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques</li> </ul><p>It is primarily written for senior undergraduates graduate students and researchers in the fields of electrical engineering electronics and communications engineering and biomedical engineering.</p>