This lecture provides an introduction to the basic theory and practice of brain science based on the technology of magnetic resonance imaging (MRI). Students learn the human brain structure and functions, especially related to language, memory, perception, motion and emotion, and computational programming technologies pertaining to the applied informatics. Some methods of fMRI analysis will be discussed such as general linear model (statistical hypothesis testing), multi-voxel pattern analysis (machine learning) and resting-state functional connectivity (application of graph theory).We will conduct a tour of the fMRI facility of the school of bio-science and bio-technology on the campus of O-okayama.
The purpose of this lecture is to provide an introduction to the basic theory and practice of brain science based on the technology of magnetic resonance imaging (MRI).
This intensive lecture will be held in West-9 Building, Room 202, in the time slots of 7-8.
1. Friday, October 16th, The human brain structure and functions
2. Friday, October 23rd, Basics of functional magnetic resonance imaging(fMRI)
3. Friday, October 30th, fMRI and neurolinguistics
4. Friday, November 6th, Neural correlates of memory, perception, motion and emotion
5. Friday, November 13th, fMRI data analysis (1): statistical hypothesis testing
6. Friday, November 20th, fMRI data analysis (2): machine learning and connectivity
7 .Friday, November 27th, Guided tour of the fMRI facility (change to the schedule is possible.)
Text book: none. A handout will be distributed to the auditors.
Eric R. Kandel et al., Principles of Neural Science, Mc Graw Hill, especially, Part IX.
After 2016, this course will be revised and carried over to the major of human centered sciences and bio-medical engineering.
Attendance and Report.
Email address: akama＠dp.hum.titech.ac.jp
Anytime if available.