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 
<br>for interfacing silicon with neural tissue, and for further developing a hybrid 
<br>neuron-silicon system in which neuromorphic neurons can interact with biological 
<br>neurons 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 five HWs and a final project to lead the students to construct 
<br>spiking neural networks.
<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 Neuromorphic
<br>2. Physiology and biophysics of neurons and synapses
<br>3. Mathematical models of neurons and synapses
<br>4. Dynamical system theory
<br>5. Learning: An Introduction
<br>6. Supervised learning systems
<br>7. Unsupervised learning systems 
<br>8. Hebbian learning systems
<br>9. Attentive systems
<br>10. System example
<br>11. Silicon-Neuron Interfaces / Prosthetic systems
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<br>六、成績考核(Evaluation)
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<br>HW 60%
<br>Class 20%
<br>Final project 20%
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<br>七、可連結之網頁位址
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<br>https://eeclass.nthu.edu.tw/