Cognitive Information Processing

Course Purpose
The purpose of "Cognitive Information Processing" is to provide an overview of intelligent information processing inspired by brain function, by understanding the higer-level-functions of the brain, the biological characteristics of a neuron, the fundamental components of the brain, and cognitive science. Students will organize the knowledge of information engineering and life sciences, necessary to understand this research field and consider new cognitive information processing methods.
Learning Goals
Students will be able to understand the basic contents of neuroscience and soft computing methods, such as the biological characteristics of the neuron, cognitive science, and ANN.
Topic
Session 1Guidance, what is cognitive information processing-life science and robotics-
Session 2Neuroscience 1 / Life System
Session 3Neuroscience 2 / Introduction to Neuroscience
Session 4Neuroscience 3 / Synaptic plasticity and memory
Cognitive science 1 / Higher brain function / deceived brain
Session 5Cognitive Science 2 / Consideration of functional localization of the brain and bio-type intelligence
Session 6Neurophysics / Neuroscience and Physics
Session 7Intelligent Engineering 1 / Pattern Recognition and Soft Computing 1
Session 8Intelligent Engineering 2 / Pattern Recognition and Soft Computing 2
Session 9Intelligent Engineering 3 / Perceptron 1
Session 10Intelligent Engineering 4 / Perceptron 2
Session 11Intelligent Engineering 5 / Widlow Learning Law and Error Propagation Learning
Session 12Intelligent Engineering 6 / Support Vector Machine (SVM), Fuzzy Logic), Bio-type Intelligence
Session 13Summary of life science part
Session 14Summary of intelligent engineering part, general discussion, philosophical problem
＊＊This content is based on April 1, 2024. For the latest syllabus information and details, please check the syllabus information inquiry page provided by the university.＊＊