Course Information
Course title
腦理論
Brain Theory 
Semester
107-2 
Designated for
VARIOUS PROGRAM  PROGRAM OF NEUROBIOLOGY AND COGNITIVE SCIENCE  
Instructor
劉長遠 
Curriculum Number
CSIE7434 
Curriculum Identity Number
922 U0100 
Class
 
Credits
3.0 
Full/Half
Yr.
Half 
Required/
Elective
Elective 
Time
Wednesday 7,8,9(14:20~17:20) 
Room
資310 
Remarks
曾修類神經網路。
Restriction: seniors year and beyond OR Restriction: MA students and beyond
The upper limit of the number of students: 32. 
 
Course introduction video
 
Table of Core Capabilities and Curriculum Planning
Table of Core Capabilities and Curriculum Planning
Course Syllabus
Please respect the intellectual property rights of others and do not copy any of the course information without permission
Course Description

The syllabus spans the history of brain theory since its inception. Brain theory is the endeavor to understand mind (thinking, intellect) in terms of its design (how it is built, how it works). Subjects include: neurobiological modeling (Hebbian synapse and Hebbian learning; NMDA/LTE), perception, multilayer perceptron, neural networks, reinforcement leraning, self-organizing map and Hopfield model.
課程內容與類神經網路相同 只有作業與 project 不一樣 延伸的閱讀不一樣 

Course Objective
principle and applications of neural networks
robot brain and many others...
 
Course Requirement
project, home assignments, exam
 
Student Workload (expected study time outside of class per week)
 
Office Hours
Appointment required. Note: 預約 
Designated reading
see website
https://www.csie.ntu.edu.tw/~cyliou/red/NN/Classinfo/classinfo.html
and related materials in
https://www.csie.ntu.edu.tw/~cyliou/red/.

 
References
lecture notes in
https://www.csie.ntu.edu.tw/~cyliou/red/NN/Classinfo/classinfo.html 
Grading
   
Progress
Week
Date
Topic
第1週
2/20  Chapter 1 + Chapter 2
perceptron
https://www.csie.ntu.edu.tw/~cyliou/red/NN/Classinfo/classinfo.htm 
第2週
2/27  Chapter 4 + tiling algorithm
perceptron + MLP + BP + tiling
https://www.csie.ntu.edu.tw/~cyliou/red/NN/Classinfo/classinfo.htm
 
第3週
3/06  Lecture #3 Hopfield model
Chapter 6 + three papers J.15+J.20+B.2
J.15 Cheng-Yuan Liou, Shao-Kuo Yuan (1999), Error Tolerant Associative Memory, Biological Cybernetics, vol. 81, pages 331-342.
J.20 Cheng-Yuan Liou and Shiao-Lin Lin (2006), Finite memory loading in hairy neurons, Natural Computing, vol. 5, no. 1, pages 15-42
B.2 Cheng-Yuan Liou (2006), Backbone structure of hairy memory, ICANN, The 16th International Conference on Artificial Neural Networks, September 10-14, Athens Greece, in edited book published by LNCS 4131, Part I, pages 688-697

tutorial 在 B.2 https://www.csie.ntu.edu.tw/~cyliou/red/Publications.htm 
第4週
3/13  Lecture #4 Reinforcement learning
Q-learning
https://www.csie.ntu.edu.tw/~cyliou/red/NN/Demo/demo.html
paper
http://www.derongliu.org/adp/adp-cdrom/Barto1983.pdf
video
https://www.youtube.com/watch?v=xWe58WGWmlk&t=7s 
第5週
3/20  Lecture #5 Self-organizing map
algorithm see
http://www.cis.hut.fi/research/som-research/som.shtml
paper see
The 'Neural' Phonetic Typewriter
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=28&userType=inst
economic states see
https://www.csie.ntu.edu.tw/~cyliou/red/demo/economic/index_eng.html 
第6週
3/27  Lecture #6 Deep learning : Boltzmann machine
By Hinton: https://www.youtube.com/watch?v=vShMxxqtDDs
交作業 一 "tiling algorithm" one A4 page
Hinton's deep learning
http://www.youtube.com/watch?v=vShMxxqtDDs
http://www.youtube.com/watch?v=AyzOUbkUf3M&feature=channel
video by Hugo
http://www.youtube.com/watch?v=AyzOUbkUf3M&feature=channel
https://www.youtube.com/watch?v=p4Vh_zMw-HQ&t=163s
https://www.youtube.com/watch?v=n26NdEtma8U&t=345s
some slides on Boltzmann machine
axon.cs.byu.edu/~martinez/classes/678/Slides/Boltzmann.pptx 
第7週
4/03  no class 
第8週
4/10  no class 
第9週
4/17  Lecture #7
NetTalk + BP 
第10週
4/24  Lecture #8
語言
Elamn network
J.35. Cheng-Yuan Liou, Chen-Wei Cheng, Jiun-Wei Liou, and Daw-Ran Liou, Autoencoder for Words, Neurocomputing, vol. 139, pages 84-96, 2014. 
第11週
5/01  Lecture #9 Chapter 4 + Boltzmann machine
Chapter 4 + code in
https://www.csie.ntu.edu.tw/~cyliou/red/NN/Classinfo/classinfo.html
交作業 二 "reinforcement learning" 
第12週
5/08  Lecture #10
Chapter 5 SIR-kernel

read article on hardware
Stochastic Learning with Back Propagation
https://ieeexplore.ieee.org/abstract/document/8702253 
第13週
5/15  Lecture #11
Chapter 5 SIR-SOM 
第14週
5/22  Lecture #12
SOM applications STD
J.10. Cheng-Yuan Liou and Hsin-Chang Yang (1996). Handprinted character recognition based on spatial topology distance measurement. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.18, no.9, pages 941-945. SCI&EI, tutorial package, usage
https://www.csie.ntu.edu.tw/~cyliou/red/demo/pr/index_eng.html

自動交易
C.17. Cheng-Yuan Liou, Chung-Hao Tan, Hwann-Tzong Chen, and Jiun-Hung Chen (1998), Agents that Have Desires and Behave Adaptively, The Fifth International Conference on Neural Information Processing, ICONIP, vol. 2, pp. 845-849, Oct. 21-23, Kitakyushu, Japan, preview, Learning Automata Program

交 project "hairy network" 
第15週
5/29  Lecture #13
Chapter 6 applications music
videos 
第16週
6/05  Lecture #14
每位同學 五分鐘報告 project 進度 .ppt
語言複雜度 "complexity of composition"
5 papers slides in B.28
J.26. Cheng-Yuan Liou, Tai-Hei Wu, Chia-Ying Lee (2010), Modelling Complexity in Musical Rhythm, Complexity, vol. 15, no. 4, pages 19-30, 2010.
J.33. Cheng-Yuan Liou, Shen-Han Tseng, Wei-Chen Cheng, and Huai-Ying Tsai (2013), Structural Complexity of DNA Sequence, Computational and Mathematical Methods in Medicine, Special Issue: Biomedical Signal Processing and Modeling Complexity of Living Systems, vol. 2013, Article ID 628036, 11 pages, 2013.
J.37. Cheng-Yuan Liou, Aleksandr A. Simak, and Jiun-Wei Liou, Structure sensitive complexity for symbol-free sequences, Applied Informatics, vol. 2:6, doi: 10.1186/s40535-015-0011-9. 2015.
J.38. Cheng-Yuan Liou, Aleksandr A. Simak, and Wei-Chen Cheng, Complexity analysis of music, Volume 21, Issue S1, Complexity, September/October 2016, Pages 263–268, doi: 10.1002/cplx.21740. 2016.
B.28. Cheng-Yuan Liou, Daw-Ran Liou, Alex A. Simak, and Bo-Shiang Huang (2013), Syntactic sensitive complexity for symbol-free sequence, IScIDE 2013, July 31~August 2, LNCS 8261, pp. 15-23, Bejing, China. slides

+ videos 
第17週
6/12  測驗 2:20pm~3:10pm
3:20pm 解答