Coursera – University of Washington - Computational Neuroscience
Coursera – University of Washington - Computational Neuroscience
English | .MP4 | h264, yuv420p, 960x540, 30.00 fps(r) | aac, 44100 Hz, stereo | 831 MB
Genre: E-learning
English | .MP4 | h264, yuv420p, 960x540, 30.00 fps(r) | aac, 44100 Hz, stereo | 831 MB
Genre: E-learning
Understanding how the brain works is one of the fundamental challenges in science today. This course will introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. You do not need to have any prior background in neuroscience to take this course.
Topics covered include:
1. Basic Neurobiology
2. Neural Encoding and Decoding Techniques
3. Information Theory and Neural Coding
4. Single Neuron Models (Biophysical and Simplified)
5. Synapse and Network Models (Feedforward and Recurrent)
6. Synaptic Plasticity and Learning
Coursera – University of Washington - Computational Neuroscience
