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 1 | Guidance, what is cognitive information processing-life science and robotics- |
| Session 2 | Neuroscience 1 / Life system |
| Session 3 | Neuroscience 2 / Introduction to neuroscience |
| Session 4 | Neuroscience 3 / Synaptic plasticity and memory Cognitive science 1 / Higher brain function / deceived brain |
| Session 5 | Cognitive science 2 / Consideration of functional localization of the brain and bio-type intelligence |
| Session 6 | Neurophysics / Neuroscience and physics |
| Session 7 | Intelligent engineering 1 / Pattern recognition and soft computing 1 |
| Session 8 | Intelligent engineering 2 / Pattern recognition and soft computing 2 |
| Session 9 | Intelligent engineering 3 / Perceptron 1 |
| Session 10 | Intelligent engineering 4 / Perceptron 2 |
| Session 11 | Intelligent engineering 5 / Widlow learning law and reror propagation learning |
| Session 12 | Intelligent engineering 6 / Support vector machine (SVM), Fuzzy logic), Bio-type intelligence |
| Session 13 | Summary of life science part |
| Session 14 | Summary of intelligent engineering part, general discussion, philosophical problem |