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 97 / 780 页
This advanced learning path explores the philosophical underpinnings of cognitive science, covering philosophy of science, epistemology, and philosophy of mind. It guides learners from foundational philosophy to contemporary debates about the nature of mind, knowledge, and scientific explanation.
This advanced graduate-level path explores the intersection of cognitive science and law, focusing on eyewitness testimony, jury decision-making, and legal reasoning. It builds from foundational concepts in cognitive psychology and legal doctrine to advanced topics in cognitive law, emphasizing empirical research and its application to legal practice.
This graduate-level learning path bridges cognitive science and interaction design, guiding learners from foundational HCI principles through cognitive architectures, user modeling, usability evaluation, and cognitive ergonomics. It emphasizes evidence-based design and prepares learners to analyze and improve human-technology systems.
This advanced graduate learning path equips learners with the knowledge and skills to apply cognitive science principles to educational practice. It covers foundational cognitive psychology, learning sciences, instructional design, and the design of cognitive tutors, culminating in a capstone project. The path emphasizes evidence-based approaches and the practical translation of theory into educational interventions.
This advanced graduate-level learning path systematically integrates cognitive science with neuroscience, focusing on brain networks, neural decoding, and multi-modal imaging. It begins with foundational neuroscience and cognitive science concepts, progresses through advanced neuroimaging and analysis techniques, and culminates in understanding how these approaches jointly explain cognition.
This advanced graduate-level learning path systematically explores the intersection of artificial intelligence and cognitive science. It covers foundational concepts in both fields, progresses through cognitive architectures, deep learning, and natural language processing, and culminates in a critical examination of AI ethics and societal implications. The path is designed for students with a background in either discipline who wish to develop a comprehensive, interdisciplinary understanding.
This learning path equips cognitive science and clinical psychology students with the knowledge and skills to assess cognitive functions using standardized neuropsychological tests and cognitive batteries. It covers foundational concepts in psychometrics and cognitive psychology, progresses through specific assessment instruments, and culminates in the interpretation and communication of results for clinical and research purposes.
This advanced learning path equips cognitive science and psychology students with the knowledge and skills to design, conduct, and analyze eye-tracking studies. It covers the underlying technology, key paradigms, data analysis techniques, and practical applications, culminating in a capstone project.
This learning path guides you from programming fundamentals through building, simulating, fitting, and evaluating computational models of cognitive processes. It covers key model types, parameter estimation, model comparison, and validation, preparing you for research or industry roles in cognitive science.
A comprehensive learning path for cognitive science and neuroscience students to understand and apply neuroimaging methods, covering the basics of neuroscience, key techniques (fMRI, EEG, MEG), experimental design, analysis, and interpretation.