Coursera - Computational Neuroscience (University of Washington)
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~68.1 kbps | 30 fps
AAC | 109 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | ~15 hours | 954 MB
Genre: eLearning Video / Artificial Neural Network, Reinforcement Learning, Biological Neuron Model
Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. We will make use of Matlab/Octave/Python demonstrations and exercises to gain a deeper understanding of concepts and methods introduced in the course.
The course is primarily aimed at third- or fourth-year undergraduates and beginning graduate students, as well as professionals and distance learners interested in learning how the brain processes information.
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