This course aims to provide comprehensive understanding on the cellular and molecular basis underlying the detrimental process of neurodegeneration and its related neuronal diseases as well as the counteracting process of neuroregeneration. This course consists of two major parts. Part I covers the molecular and cellular mechanisms of neurodegeneration, and Part II provides current updates on seven representative neurodegenerative diseases including AD, PD, and ALS.
With an overview of the neurodevelopmental process in the central nervous system, this course will provide details about the molecular and cellular mechanisms for the principles of neurodevelopment and the pathogenesis of related disorders. Current updates on the strategies to target the representative neurodevelopmental diseases including epilepsy and autism spectrum disorder (ASD) will be also discussed
Learning and memory are broad concepts that likely encompass many different brain mechanisms whenever neural circuits throughout the CNS change after an event. Memories are the building blocks of our identities, and the mental world is critical for any cognition. The 'Learning & Memory' chapter delves into how the brain acquires, stores, and retrieves information. It explores the fundamental concepts, neural mechanisms, and brain structures involved in various forms of learning and memory. Students will gain insights into the impact of memory on cognition, decision-making, and behavior and the significance of memory in both normal and pathological brain function.
This course is designed to provide an understanding of the principles and mechanisms underlying animal behaviors, achieved by covering topics such as sensory motor systems, social behaviors, and homeostasis. Throughout the class, students will learn from textbooks and will engage in discussions about the most recent papers in these areas. By doing so, students are expected to grasp basic concepts and stay up-to-date with the latest scientific trends in the field.
Neural interface guides interaction between with brain and computer. This course includes introducing concepts of neural activity, brain chemical and electrical signaling. And this course is focused on hardware and software technologies that enable readout and processing of neural activity in the brain. The goal of the course is to increase students’ familiarity with neural interface. Learn about the fundamental concept of neural activity. Understand the signal processing with dataset of brain electrophysiological or imaging recording.
Brain engineering design addresses development of conceptual and applied design skills through lectures on the mechanical operating principles of neuroscience tools and prototype devices. Student will learn about materials, manufacturing, protocols for electrophysiology, fiber photometry, optical imaging, magnetic field, ultrasound, AI in brain sciences.
Cognitive neuroscience involves the study of the brain and behavior. It reflects an interdisciplinary effort to understand how the mind works, drawing on research in psychology, neurology, and the neurosciences. The goal of this course is to introduce various approaches to studying the brain and cognitive processes, enabling you to explore your own inquiries about the human mind. Specifically, we will primarily focus on examining the workings of the human brain such as attention, memory, language, decision-making, executive functions, emotion, and social cognition.
In this course, you will learn about classic and fundamental studies in cognitive and experimental psychology, which will provide a foundation for formulating your own research questions regarding cognition in the brain. The goal of this course is to explore how we perceive and interpret information from the world around us, integrate it with our prior experiences, and make decisions to navigate an ever-changing environment. While the primary focus of this course is to introduce you to the scientific study of the mind, you will also gain an appreciation for the significant role cognition plays in our daily lives.
This course provides an introduction to the rapidly evolving field of bioinformatics and data analysis emphasizing the application of computational and statistical approaches to analyze biological data including omics data, sequence data and brain imaging data. Students will learn the fundamental principles, methods, and tools used in bioinformatics and data analysis, enabling them to explore and interpret biological information at the molecular, cellular, and organismal levels.
Advanced computational brain science is the study of the computational basis of learning and inference by mathematical modeling, computer simulation, and behavioral experiments. This course provides an introductory exploration of computational theories related to human cognition. By utilizing formal models derived from both classical and modern artificial intelligence, we will cover a range of formal modeling methodologies and their practical applications in comprehending fundamental areas of cognition. The scope of this course will not be limited to above but can extend to current issues of the forefront research.
This course offers an in-depth exploration of the latest trends, research, and theories in the field of neurodevelopment, emphasizing the biological, cognitive, and behavioral processes that shape the growing nervous system from embryonic stages to adulthood. Students will examine key concepts, emerging trends, and cutting-edge techniques in understanding neurodevelopmental disorders and brain plasticity.
This course delves into the current trends, research, and advancements in the field of neurodegeneration, focusing on the mechanisms, causes, diagnostic approaches, and potential therapeutic interventions for various neurodegenerative disorders. Students will explore cutting-edge research, technologies, and interdisciplinary approaches to understanding and addressing neurodegeneration.
This course explores current trends, cutting-edge research, and emerging concepts in neural circuitry, aiming to understand the complex networks of interconnected neurons that underlie brain function and behavior. Students will delve into the structure, function, plasticity, and computational principles of neural circuits, as well as their relevance to various cognitive processes.
This course delves into contemporary trends, research, and theories related to neural behavior, focusing on the fundamental principles that govern the behavior of neurons and neuronal networks. Students will explore the intricacies of neural communication, decision-making, learning, and adaptive responses, as well as the applications and implications of understanding neural behavior in various contexts.
This course explores contemporary advancements and emerging trends in brain science, encompassing neuroscience, cognitive science, psychology, and related interdisciplinary fields. Students will delve into the latest research, technologies, and theories shaping our understanding of the brain, its functions, disorders, and potential applications. The course aims to foster critical thinking and discussion on the forefront of brain science