Neural Networks

한국과학기술원
정용

페이스북 트위터 카카오톡 네이버밴드 링크복사

주제분류

자연과학 >생물ㆍ화학ㆍ환경 >생명과학
강의학기

2012년 2학기

조회수

2,854

This course will provide students with a current approaches of neural networks in biological perspectives. It will cover methodology for from macroscale network such as MRI or EEG to microscale network such as neuronal tracing or optical imaging; analysing methods such as graph theory and biological implications.

차시별 강의

1.	Introduction	Introduction:Why network?
2.	Brain connectivity	How to investivage brain connectivity
3.	Brain Networks: Structure	Network measure and Architecture
4.	Brain Networks: and Dynamics	Brain conncetivity
5.	A Network Perspective on Neuroanatomy	Neuroanatomy and Network Science
6.	Mapping Cells, Circuits, and Systems	micro/macroscopic connectivity measure
7.	The Brains Small World	The brain’s Small World: Motifs, Modules, and Hubs
8.	Economy, Efficiency, and Evolution	Wiring minimization and the Evolution of Brain Connectivity
9.	Dynamic Patterns in Spontaneous Neural Activity	default mode network and functional network
10.	Dynamics:Stability and Diversity	Brain’s ability to self-organize and undergo transient state dynamics
11.	Neural Complexity	Measuring Complexity: Randomness and Organization