Coursera - Computational Neuroscience (University of Washington)
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
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
This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory.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.
also You can watch my other helpful: Coursera-posts
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General
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Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 30.3 MiB
Duration : 22 min 52 s
Overall bit rate mode : Variable
Overall bit rate : 185 kb/s
Encoded date : UTC 1970-01-01 00:00:00
Tagged date : UTC 1970-01-01 00:00:00
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Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 30.000 FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.004
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Writing library : x264 core 120 r2120 0c7dab9
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Format/Info : Advanced Audio Codec
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Codec ID : mp4a-40-2
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Bit rate mode : Variable
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Maximum bit rate : 128 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 kHz
Frame rate : 43.066 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 17.8 MiB (59%)
Default : Yes
Alternate group : 1
Encoded date : UTC 1970-01-01 00:00:00
Tagged date : UTC 1970-01-01 00:00:00
Screenshots
Coursera - Computational Neuroscience (University of Washington)
Coursera - Computational Neuroscience (University of Washington)
Coursera - Computational Neuroscience (University of Washington)
Coursera - Computational Neuroscience (University of Washington)
Coursera - Computational Neuroscience (University of Washington)
Coursera - Computational Neuroscience (University of Washington)
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Coursera - Computational Neuroscience (University of Washington)
