A unified treatment of the generation and analysis of brain-generated electromagnetic fields. In Brain Signals, Risto Ilmoniemi and Jukka Sarvas present the basic physical and mathematical principles of magnetoencephalography (MEG) and electroencephalography (EEG), describing what kind of information is available in the neuroelectromagnetic field and how the measured MEG and EEG signals can be analyzed. Unlike most previous works on these topics, which have been collections of writings by different authors using different conventions, this book presents the material in a unified manner, providing the reader with a thorough understanding of basic principles and a firm basis for analyzing data generated by MEG and EEG. The book first provides a brief introduction to brain states and the early history of EEG and MEG, describes the generation of electromagnetic fields by neuronal activity, and discusses the electromagnetic forward problem. The authors then turn to EEG and MEG analysis, offering a review of linear and matrix algebra and basic statistics needed for analysis of the data, and presenting several analysis methods: dipole fitting; the minimum norm estimate (MNE); beamforming; the multiple signal classification algorithm (MUSIC), including RAP-MUSIC with the RAP dilemma and TRAP-MUSIC, which removes the RAP dilemma; independent component analysis (ICA); and blind source separation (BSS) with joint diagonalization.
From Snapshots to Social Media describes the history and future of domestic photography as mediated by technological change. Domestic photography refers to the culture of ordinary people capturing, sharing and using photographs, and is in a particular state of flux today as photos go digital. The book argues that this digital era is the third major chapter in the 170 year history of the area; following the portrait and Kodak eras of the past. History shows that despite huge changes in photographic technology and the way it has been sold, people continue to use photographs to improve memory, support communication and reinforce identity. The future will involve a shift in the balance of these core activities and a replacement of the family album with various multimedia archives for individuals, families and communities. This raises a number of issues that should be taken into account when designing new technologies and business services in this area, including: the ownership and privacy of content, multimedia standards, home ICT infrastructure, and younger and older users of images. The book is a must for designers and engineers of imaging technology and social media who want a better understanding of the history of domestic photography in order to shape its future. It will also be of value to students and researchers in science and technology studies and visual culture, as a fascinating case study of the evolving use of photographs and photographic technology in Western society.
Originally published in 1992, this book presents original psychophysiological research based on computerized techniques of recording and evaluating event-related brain potentials. The application of multichannel magnetoencephalography greatly contributes to exact localization of corresponding neuronal generators responsible for attention. The book contains a bulk of information concerning data obtained by cognitive psychology in the area of study of attention. These results are closely linked with neurophysiological investigation of attention.
From Snapshots to Social Media describes the history and future of domestic photography as mediated by technological change. Domestic photography refers to the culture of ordinary people capturing, sharing and using photographs, and is in a particular state of flux today as photos go digital. The book argues that this digital era is the third major chapter in the 170 year history of the area; following the portrait and Kodak eras of the past. History shows that despite huge changes in photographic technology and the way it has been sold, people continue to use photographs to improve memory, support communication and reinforce identity. The future will involve a shift in the balance of these core activities and a replacement of the family album with various multimedia archives for individuals, families and communities. This raises a number of issues that should be taken into account when designing new technologies and business services in this area, including: the ownership and privacy of content, multimedia standards, home ICT infrastructure, and younger and older users of images. The book is a must for designers and engineers of imaging technology and social media who want a better understanding of the history of domestic photography in order to shape its future. It will also be of value to students and researchers in science and technology studies and visual culture, as a fascinating case study of the evolving use of photographs and photographic technology in Western society.
A unified treatment of the generation and analysis of brain-generated electromagnetic fields. In Brain Signals, Risto Ilmoniemi and Jukka Sarvas present the basic physical and mathematical principles of magnetoencephalography (MEG) and electroencephalography (EEG), describing what kind of information is available in the neuroelectromagnetic field and how the measured MEG and EEG signals can be analyzed. Unlike most previous works on these topics, which have been collections of writings by different authors using different conventions, this book presents the material in a unified manner, providing the reader with a thorough understanding of basic principles and a firm basis for analyzing data generated by MEG and EEG. The book first provides a brief introduction to brain states and the early history of EEG and MEG, describes the generation of electromagnetic fields by neuronal activity, and discusses the electromagnetic forward problem. The authors then turn to EEG and MEG analysis, offering a review of linear and matrix algebra and basic statistics needed for analysis of the data, and presenting several analysis methods: dipole fitting; the minimum norm estimate (MNE); beamforming; the multiple signal classification algorithm (MUSIC), including RAP-MUSIC with the RAP dilemma and TRAP-MUSIC, which removes the RAP dilemma; independent component analysis (ICA); and blind source separation (BSS) with joint diagonalization.
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