一、課程說明(Course Desc<x>ription)
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<br>This course introduces various neuromorphic VLSI systems, including the sensory 
<br>systems such as silicon retina, silicon cochlea, electronic nose, learning and 
<br>memory in silicon, and cognitive functions in silicon. The emerging technologies for 
<br>interfacing silicon with neural tissue, and for further developing a hybrid neuron-
<br>silicon system in which neuromorphic neurons can interact with biological neurons 
<br>will also be introduced.
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<br>二、指定用書(Text Books)
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<br>Power-point handouts will be prepared
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<br>三、參考書籍(References)
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<br>1. "Analog VLSI and Neural Systems", ed. C. A. Mead, 1990
<br>2. “Neuromorphic systems”, ed. By Leslie S. Smith and Alister Hamilton, 
<br>World Science, 1998 
<br>3. “Learning on Silicon – Adaptive VLSI Neural Systems”, ed. by Gert 
<br>Cauwenberghs and Magdy A. Bayoumi, Kluwer Academic Publisher, 1999
<br>4. “Smart adaptive systems on silicon”, ed. by Maurizio Valle, Kluwer 
<br>Academic Publisher, 2004
<br>5. “Neural Engineering” ed. by Bin He, Kluwer Academic Publisher, 2005
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<br>四、教學方式(Teaching Method)
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<br>The course is lectured in English with power-point handouts.
<br>There will be four labs for hands-on experiences on course materials
<br>Related materials will be distributed in class
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<br>五、教學進度(Syllabus)
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<br>1. Introduction to Neuroscience 
<br>2. Sensory systems (I)
<br>   - Neuromorphic Systems
<br>   - Taste and Smell (eNose and eTongue) 
<br>   - Cutaneous (Artificial Skin and Active Skin)
<br>3. Supervised learning systems 
<br>   - Multil<x>ayer perceptron  
<br>   - Stochastic approach
<br>   - Cellular Neural Networks 
<br>4. Unsupervised learning systems 
<br>   - The Continuous Restricted Boltzmann Machine  
<br>   - The Diffusion Network
<br>   - Memory 
<br>5. Hebbian learning systems  
<br>   - Hebbian learning  
<br>   - Spiking neural networks in VLSI 
<br>   - Address Event Representation
<br>6. Active vision systems 
<br>   - Saliency-ba<x>sed visual attention  
<br>   - Active vision systems
<br>7. Neuron-Silicon Interface  
<br>   - Basic neuroscience and electrochemistry
<br>   - Multi-electrode arrays and its driving circuits
<br>   - Basic, driving circuits
<br>8. Hybrid Neuron-Silicon system 
<br>   - Hodgkin-Huxley Model in VLSI 
<br>   - Volterra-Poisson Model in VLSI
<br>9. Sensory Systems (II)
<br>   - Neural prosthesis
<br>   - Vision (Silicon retina and retinal prosthesis)
<br>   - Audition (Silicon cochlea and cochlea implant)
<br>   - Motion (Neural prosthesis – BION)
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<br>六、成績考核(Evaluation)
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<br>Lab: 60% 
<br>Final Project: 40%
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<br>七、可連結之網頁位址
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<br>http://lms.nthu.edu.tw