الصفحة 1
الصفحة 1
Neuroeconomia, neuromarketing e processi decisionali = Neuroeconomics, neuromarketing and decision-making processes
The book covers a sector, that of the application of modern neuroscience techniques to the fields of economics and marketing, recently born and of great interest to the public, to advertisers as well as to neuroscience scholars. The book presents, in plain language and not for experts in the field, the structure and functioning of the brain (as it is known today) during human decision-making processes. Of interest is the analysis of how the different neuronal systems within the brain can cooperate with each other in generating decisions. All this simple physiological treatment is inserted in the context of the analysis of brain activity while watching commercial clips. In the original study presented in this book, the variables involved were those related to the recall of television advertising in a sample of normal young subjects. This study is simply the first that is carried out of this type in Italy and will be intended to be a reference point for subsequent studies in the sector.
Mouse controller using electroencephalography (EEG) device
The growing technologies related to neuroscience has to lead many innovative applications, most importantly Electroencephalography, or EEG for short. This field of study has become recently a trend that many companies around the world have started to enter the race of conquering the brain and controlling everything from a mouse controller to the whole human body. This project aims to help disabled people use a computer with ease and simplicity without needing to use their hands, or anything really, which they can achieve by wearing a headset or get someone to put it on them. The headset is designed to read brain activities and send it to a computer program to understand where the user wants to move the mouse cursor on the computer screen using an Artificial Intelligence model. This project helps further researches in this field which pushes the technology even further from where it is now. The device designed for this project can be repurposed pretty easily to serve many different applications other than controlling a mouse.
Mind conversation = التنبؤ بالحروف العربية من خلال الإشارات الدماغية
Throughout history, humans have long dreamed of understanding what goes on inside the human mind—what people are thinking or feeling. It seemed like something from a far-off future or a magical realm. But now, thanks to amazing technology called EEG and BCI, this dream is turning into reality. EEG stands for electroencephalography. It's a way of listening to what the brain is up to by placing small sensors on or near the head. These sensors pick up tiny electrical signals produced by the brain's activity. It's like eavesdropping on the brain's conversations with itself. BCI, or Brain-Computer Interface, is like a bridge between the brain and machines. It lets the brain talk to devices or computers. This means people can control things without using their hands or voices. Our system takes advantage of EEG and BCI to create something helpful, a special mobile app. This app is designed for people who can't move their bodies, like those who are paralyzed. It helps them use their phones to express what they are thinking about.
EEG signal processing for biomedical applications
Focuses on electroencephalography (EEG) signal processing in biomedical engineering applications. EEG signals are used widely in clinical and research settings to provide cognitive and emotional state information. In addition to capturing complex neural patterns at high speeds, EEG signals are a reliable and non-invasive way of measuring the electrical activity in the brain. By examining various novel analysis and signal processing methods, this collection of papers provides a better understanding of cognitive states and brain activity.
Digital Human Modeling : Trends in Human Algorithms
The emerging information technologies have given rise to new human patterns in terms of both physiological and psychological interactions. Human Algorithms aim to model human forms, interactions, and dynamics in this new context.
Coordination : Neural, Behavioral and Social Dynamics
One of the most striking features of Coordination Dynamics is its interdisciplinary character. The problems we are trying to solve in this field range from behavioral phenomena of interlimb coordination and coordination between stimuli and movements (perception-action tasks) through neural activation patterns that can be observed during these tasks to clinical applications and social behavior. It is not surprising that close collaboration among scientists from different fields as psychology, kinesiology, neurology and even physics are imperative to deal with the enormous difficulties we are facing when we try to understand a system as complex as the human brain.
Cerebral monitoring in the OR and ICU
This comprehensive volume will serve as a complete guide to the clinical application of computer assisted systems in monitoring central nervous functions both in the OR and ICU. It presents practical guidelines and therapeutic indications for computerized EEG and Somatosensory Evoked Potential (SSEP) monitoring for the experienced user and the novice. The book also describes what cerebral monitoring can do and what its limitations are.
Artificial intelligence applied to medical imaging and computational biology
Medical imaging and computational biology continuously pose new fundamental medical and biological questions that often give rise to novel challenges in Artificial Intelligence. These research fields present an increasing need for the application of cutting-edge computational approaches that generally involve machine learning or computational intelligence techniques, which can effectively perform bioimage and biosignal processing in different clinical areas.
Adaptive Spatial Filters for Electromagnetic Brain Imaging
Adaptive spatial filters are powerful algorithms for electromagnetic brain imaging that enable high-fidelity reconstruction of neuronal activity. This book describes the technical advances of adaptive spatial filters for electromagnetic brain imaging by integrating and synthesizing available information and describes various factors that affect its performance.
