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Padhai By Astra Cloud

Elective Cognitive Science

Cognitive Science notes

8 chapter notes, in syllabus order. Each starts with the key points.

Unit 1 · 7 hrs

Cognitive Science: Foundations, Scope & Core ParadigmsUnit 1 of Cognitive Science introduces the field’s definition, historical roots, key paradigms (symbolic vs. connectionist), and its interdisciplinary scope across psychology, neuroscience, AI, and linguistics—with real-world applications in tech and daily life.13 min read

Unit 2 · 5 hrs

Precursors of Cognitive Science: Structuralism, Functionalism, Behaviorism & GestaltUnit 2 of Cognitive Science explores the foundational theories—Structuralism, Functionalism, Behaviorism, and Gestalt—that laid the groundwork for modern cognitive science, analyzing their methods, critiques, and lasting influence on psychology and AI.12 min read

Unit 3 · 5 hrs

Psychological Perspectives of Cognition: Models, Theories & ApplicationsUnit 3 of Cognitive Science explores the foundational psychological theories of cognition—information processing, memory, perception, and problem-solving—through the lenses of structuralism, functionalism, Gestalt psychology, and cognitive psychology. It examines how mental processes are studied experimentally, with re11 min read

Unit 4 · 7 hrs

Physical Symbol Systems & Language of ThoughtUnit 4 of Cognitive Science explores how symbols and mental representations form the foundation of cognition, comparing physical symbol systems (PSS) to neural networks, analyzing the Language of Thought (LOT) hypothesis, and examining their applications in AI and human cognition.13 min read

Unit 5 · 4 hrs

Cognitive Systems: Architecture, Models & Human-Machine InteractionUnit 5 of Cognitive Science explores the functional architecture of cognitive systems—how humans and machines process information, represent knowledge, and interact with environments. It covers classical models (e.g., Soar, ACT-R), embodied cognition, and hybrid systems, with real-world applications in AI, robotics, an12 min read

Unit 6 · 6 hrs

Brain Mapping: Techniques, Tools & Cognitive InsightsUnit 6 of Cognitive Science explores brain mapping methods (EEG, fMRI, PET, TMS), their working principles, applications in neuroscience, and how they reveal cognitive functions. Learn how these tools decode brain activity, limitations, and real-world uses in medicine and tech.10 min read

Unit 7 · 5 hrs

Mind Reading: Brain-Computer Interfaces, fMRI, EEG, and NeuroimagingUnit 7 of Cognitive Science explores how scientists decode brain activity to interpret thoughts, emotions, and intentions—covering techniques like fMRI, EEG, and MEG, their working principles, applications in medicine and tech, and ethical dilemmas. Learn how mind-reading tech works, its real-world uses, and limitation10 min read

Unit 8 · 6 hrs

Neural Networks & Distributed Info Processing: Models, Learning, and Brain-Like SystemsUnit 8 of Cognitive Science explores how neural networks mimic biological brains to process information in parallel, covering artificial neurons, activation functions, learning rules (backpropagation), deep learning architectures, and distributed representation—with real-world ties to apps like Khalti’s fraud detection10 min read