• Posts
Introduction
Algorithms
• Complexity & Divide and Conquer
• Dynamic Programming
• Greedy & Back-track & Branch and Bound
Compiler
• Lexcial Analysis & Parsing
• Semantic Analysis & Runtime Environment
• Syntax-directed Translation
Computational Neuroscience
• Ionic Currents
• Neuroscience Basic Knowledge
Database System
• Database System Lecture Note 1
• Database System Lecture Note 2
• Database System Lecture Note 3
• Database System Lecture Note 4
DL
• Convolutional Neural Network
• Introduction to Deep Learning
• Optimization for Deep Learning
• Recursive Neural Network
• Self-attention
• Transformer
Life Learning
• Architectures of neuronal circuits
• how to model
• Lecture James McClleland
• Lecture Yao Xin
ML
• Basic Concepts
• Classification
• Decision Tree
• KNN
• Perceptron
• SOM
• Support Vector Machines
Operating System
• CPU Scheduling
• File System
• Introduction & OS Structure
• Mass-Storage Structure & I/O System
• Memory Management
• Process & Threads
• Process Synchronization
Paper Reading
• Continuous-attractor Neural Network
• Few-Shot Class-Incremental Learning
• Integrated understanding system
• Push-pull feedback
• reservoir decision making network
• Task representations in neural networks