Coursera – Computational Neuroscience 2024-12

Computational Neuroscience is a complete course to teach an introduction to basic computational methods for understanding what neural systems do and for determining how they work. We will examine the computational principles governing various aspects of vision, sensorimotor control, learning, and memory. Specific topics that will be covered include information representation by spiking neurons, information processing in neural networks, and algorithms for adaptation and learning. We will use Matlab/Octave/Python demonstrations and exercises to gain a deeper understanding of the concepts and methods introduced in the course.

What you will learn in this course:

• Computational neuroscience
• Artificial Neural Networks
• Reinforcement learning
• Biological neuron model

Who is this course for:

• This course is primarily for third- or fourth-year undergraduate students and beginning graduate students, as well as professionals and distance learners interested in learning how the brain processes information.

Course specifications:

• Publisher : Coursera
• Instructor(s) : Rajesh P. N. Rao , Adrienne Fairhall
• Language : English
• Level : Beginner
• Number of chapters : 8
• Duration of the course: about 26 hours
• Format : mp4
• Providing institution/university: University of Washington

Course contents :

Requirements :

• There is no prerequisite for this course

Photos of Computational Neuroscience

Sample clip:

Installation guide :

After extracting, you can watch the course with your favorite video player.

Subtitle: English

Quality: 720p

The 2024/12 version has increased the number of text files by 60 compared to 2023/5.

Download links :

Download Part 1 – 1 GB

Download Part 2 – 93 MB

Password : www.downloadly.ir

File size :

1.09 GB