Path Catalog
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正在从 AllPath API 加载 Path Catalog…
Path Catalog
列表数据实时取自 GET /api/v1/paths，仅包含存在已发布版本的 Path。
共 7800 条 Path · 第 102 / 780 页
A comprehensive learning path for advanced university students bridging physics and neuroscience. It covers the physical foundations of neuronal function, including membrane biophysics, electrophysiology, diffusion, and optics, with a focus on how physical principles enable neural signaling and imaging.
This graduate-level learning path explores the neural mechanisms underlying aesthetic experiences, integrating neuroscience, psychology, and the arts. It covers foundational concepts, core methods, and specialized topics in visual aesthetics, music perception, and creativity, culminating in an integrative understanding of neuroaesthetics.
This advanced graduate-level path integrates neuroscience and economics to understand the neural basis of decision making. It covers reward processing, risk and utility, and social decision making, building from foundational concepts in both disciplines to current research frontiers.
This advanced graduate-level path equips students in neuroscience and philosophy with the conceptual tools to analyze ethical issues in neuroscience. It covers foundational ethics and neuroscience, then explores cognitive enhancement, brain privacy, neuroimaging ethics, and animal ethics, culminating in a capstone project.
A comprehensive graduate-level path covering the principles and technologies of neural engineering, from foundational neuroscience and signal processing to advanced BCI systems, neural prosthetics, and optogenetics. Designed for neuroscience and engineering students seeking systematic understanding of neurotechnology.
This learning path equips neuroscience and computational students with the programming, data analysis, modeling, and simulation skills needed for a career in computational neuroscience. It starts with Python programming basics, progresses through data handling and scientific computing, and culminates in neural modeling and simulation.
This advanced learning path equips neuroscience and anatomy students with the knowledge and skills to trace neural connections and visualize brain structures. It covers essential histological techniques, stereotaxic surgery, tract tracing methods, and brain mapping approaches, providing a solid foundation for careers in neuroscience research.
This learning path provides a comprehensive grounding in behavioral neuroscience methods, covering experimental design, animal models, behavioral assays, conditioning paradigms, and data analysis. It progresses from foundational concepts in neurobiology and research ethics to advanced topics in behavioral task design and interpretation, equipping learners with the skills needed to design, conduct, and analyze behavioral experiments.
A comprehensive learning path for neuroscience and radiology students covering the physics, principles, and applications of major neuroimaging modalities (MRI, fMRI, PET, CT, MEG) and basic data analysis. It progresses from foundational physics and neuroanatomy to modality-specific techniques and analysis methods.
This learning path equips neuroscience and physiology students with a solid understanding of electrophysiological recording techniques, from the physical principles to practical data analysis. It covers patch clamp, extracellular recording, and EEG, emphasizing the underlying physics and signal processing. The path is designed for advanced university learners aiming to apply these skills in research or clinical settings.