Seizure Forecasting And Detection Computational Models Machine Learning And Translation Into Devices

Seizure Forecasting and Detection: Computational Models, Machine Learning, and Translation into Devices

Computational Neuroscience in Epilepsy

Epilepsy is a neurological disorder that affects millions of patients worldwide and arises from the concurrent action of multiple pathophysiological processes. The power of mathematical analysis and computational modeling is increasingly utilized in basic and clinical epilepsy research to better understand the relative importance of the multi-faceted, seizure-related changes taking place in the brain during an epileptic seizure. This groundbreaking book is designed to synthesize the current ideas and future directions of the emerging discipline of computational epilepsy research. Chapters address relevant basic questions (e.g., neuronal gain control) as well as long-standing, critically important clinical challenges (e.g., seizure prediction). Computational Neuroscience in Epilepsy should be of high interest to a wide range of readers, including undergraduate and graduate students, postdoctoral fellows and faculty working in the fields of basic or clinical neuroscience, epilepsy research, computational modeling and bioengineering. - Covers a wide range of topics from molecular to seizure predictions and brain implants to control seizures - Contributors are top experts at the forefront of computational epilepsy research - Chapter contents are highly relevant to both basic and clinical epilepsy researchers

The Brain Code

""The Brain Code"" embarks on a journey to understand the complex neural networks and neuronal communication that underpin intelligence, decision-making, and consciousness. It argues that deciphering the brain's code is fundamental to unlocking the biological basis of thought and behavior. The book bridges molecular neuroscience and cognitive psychology, offering a framework for interpreting brain activity, emphasizing how neurons interact to form complex networks that drive cognitive functions. For example, understanding synaptic plasticity can reveal how our brains adapt and learn from new experiences. The book progresses logically, beginning with the fundamental building blocks of the brain, neurons and synapses, and advancing to explore various brain regions and their specific functions, such as sensory processing and motor control. It delves into how the brain processes information, examining neural circuits involved in perception, memory, and decision-making. Supported by neurophysiology, neuroimaging, and computational neuroscience research, ""The Brain Code"" provides a cohesive framework for understanding brain function at multiple levels, making it valuable for students, researchers, and anyone interested in the biological basis of thought.