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Functional Organisation of the Human Visual Cortex
Functional Organisation of the Human Visual Cortex
Neural Correlates of Thinking
The advances in neuroimaging technologies have led to substantial progress in understanding the neural mechanisms of cognitive functions. Thinking and reasoning have only recently been addressed by using neuroimaging techniques. The present book comprehensively explores current approaches and contributions to understanding the neural mechanisms of thinking in a concise and readable manner. It provides an insight into the state of the art and the potentials, but also the limitations of current neuroimaging methods for studying cognitive functions. The book will be a valuable companion for everyone interested in one of the most fascinating topics of cognitive neuroscience.
Balanced Sustainability In A Changing World
The Federation of German Scientists together with the Institute of Medical Psychology, Ludwig Maximilian University, organized an interdisciplinary and international 'autumn school' in 2023 when 30 young researchers and students participated. This important volume comprises lectures presented by international leading scientists and prominent experts from different academic fields who provided the background knowledge for 'balanced sustainability in a changing world'.Topics selected in the first block of lectures focused on climate change and biodiversity. And in the second block, lectures were given on social and personal challenges in a changing world: How should 'smart cities' be organized...
Cultural Patterns And Neurocognitive Circuits: East-west Connections
Our age is characterized by global access to information, places and cultures: we can gain more and more knowledge about 'the others': other people and their cultures by 'indirect knowledge' — learning about them via the global information net assisted by electronic and other high-tech communication channels, as well as by 'direct knowledge': personally visiting various parts of the world and meeting local people in their own natural and social environments.East and West, two major worlds of aspirations, cultures, world-views, theoretical and practical approaches to life and death, have come closer by personal experiences of both Westerners and Easterners. But do we really understand the s...
Deep Learning for Cancer Diagnosis
This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.
From Morphological Imaging to Molecular Targeting
The current progress in molecular medicine allows the identification of a plethora of new and often human-specific drug targets. An early in vivo validation of specific ligands binding to these targets in humans is needed to assess their potential for targeted imaging and radiotherapy. Radiopharmaceuticals are uniquely suitable for such target validation studies. The purpose of the Ernst Schering Research Foundation Workshop 48 was to offer a forum for an open exchange on the state of the art in the early development of such radiopharmaceuticals. Experts from academia, industry and regulatory authorities provided contributions covering the identification of targets, the necessary preclinical studies on the safety of ligands as well as their validation in human clinical trials.
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational i...
Supervised and Unsupervised Data Engineering for Multimedia Data
SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in ...
