计算神经科学课程
计算神经科学课程可以帮助您学习神经建模、数据分析技术和大脑连接原理。您可以培养使用 Python 编程、统计分析以及使用机器学习算法来分析神经数据的技能。许多课程都会介绍 MATLAB 和 TensorFlow 等工具，这些工具支持模拟神经网络和分析大型数据集，使您能够在研究和实际应用中应用所学知识。
热门计算神经科学课程和认证
状态：免费试用University of California, Davis
您将获得的技能: 数据分析, 网络分析, 图论, 数据操作, 模拟, 社交网络分析, 预测分析, 统计可视化, 社会科学, 数据可视化, 数据整理
您将获得的技能: C++ (Programming Language), Data Structures, Interactive Design, Program Development, Object Oriented Programming (OOP), Computer Programming, Java Programming, Software Development, Computational Logic, Computer Science
状态：预览Clemson University
您将获得的技能: Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Programming, Computer Science, Probability, Design Strategies, Analysis, Performance Testing, Scalability
28DIGITAL
您将获得的技能: Algorithm, 理论计算机科学, 技术文档, 系统分析, 嵌入式系统, 模型评估, 计算思维, 性能测试, 图论, 数学建模
状态：预览Eindhoven University of Technology
您将获得的技能: 统计分析, 研究, R 语言程序设计（中文版）, 统计方法, 数据共享, 定量研究, 实验, 统计推理, 数据综合, 科学与研究, 研究设计, 样本量的确定
28DIGITAL
您将获得的技能: Algorithm, 应用数学, 算术, 组合学, 理论计算机科学, 验证和确认, 数学建模, 计算逻辑, 逻辑推理, 线性代数
状态：免费试用Universidad Nacional Autónoma de México
您将获得的技能: Bayesian Network, Computational Logic, Markov Model, Artificial Intelligence, Game Theory, Theoretical Computer Science, Logical Reasoning, Python Programming, Deductive Reasoning, Reinforcement Learning, Probability, Verification And Validation, Decision Tree Learning, Algorithms, Probability Distribution
Coursera
您将获得的技能: TypeScript, Computational Logic, Scripting Languages, Programming Principles, Web Development Tools, Data Structures, Computer Programming
状态：预览Deep Teaching Solutions
您将获得的技能: Conflict Management, Interpersonal Communications, Cognitive flexibility, Emotional Intelligence, Cultural Diversity, Responsible AI, Media and Communications, Critical Thinking, Innovation, Social Studies, Psychology
您将获得的技能: IBM Cloud, Cryptography, Algorithms, Python Programming, Linear Algebra, Computational Thinking, Jupyter, Simulation and Simulation Software, Physics, Software Installation, Development Environment
状态：免费试用您将获得的技能: Electronic Systems, Hardware Design, Electronics Engineering, Electrical Engineering, Computer Architecture, Schematic Diagrams, Semiconductors, Electronic Components, Diagram Design, Low Voltage, Simulation and Simulation Software, Verification And Validation, Computational Logic, Software Installation
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: 空间数据分析, Python 程序设计, 分布式计算, 大数据, Matplotlib, 地理信息系统, 数据操作, 计算思维, 地理空间制图, 地理空间信息与技术, Apache Hadoop, 空间分析, 数据处理
总之，以下是 10 最受欢迎的 computational neuroscience 课程
- 社交网络分析: University of California, Davis
- Introduction to C++ Programming: Create a Tic-Tac-Toe Game: Coursera
- Design and Analysis of Algorithms: Clemson University
- 定量形式建模和最坏情况性能分析: 28DIGITAL
- 改进统计问题: Eindhoven University of Technology
- 自动推理：可满足性: 28DIGITAL
- Razonamiento artificial: Universidad Nacional Autónoma de México
- TypeScript Operators: Coursera
- Speak Freely, Think Critically: The Free Speech Balance Act: Deep Teaching Solutions
- Practical Quantum Computing with IBM Qiskit for Beginners: Packt
