Complete neural signal processing and analysis: Zero to hero
Год выпуска: 11/2024
Производитель: Udemy
Сайт производителя:
https://www.udemy.com/course/solved-challenges-ants/
Автор: Mike X Cohen
Продолжительность: 46h 55m 2s
Тип раздаваемого материала: Видеоурок
Язык: Английский
Субтитры: Английский
Описание:
What you'll learn
- Signal processing
- Time series data analysis
- Statistics (non-parametric)
- Neuroscience (brain science)
- Spectral analysis application
- Applied math
Requirements
- Basic MATLAB knowledge
- Access to MATLAB or Octave
Description
Use your brain to learn signal processing, data analysis, and statistics... by learning about brains!
If you are reading this, I guess you have a brain. Your brain generates electrical signals that can be measured using electrodes, which are like small antennas. These electrical signals are rreeeeeaaallly complicated, because the brain is really complicated!
But learning how to analyze brain electrical signals is an amazing and fascinating way to learn about signal processing, data visualization, spectral analysis, synchronization (connectivity) analyses, and statistics (in particular, permutation-based statistics).
What do you get in this course?
- This course contains over 46 hours of video instruction, plus TONS of MATLAB exercises, problem sets, and challenges.
- If you do all the MATLAB exercises, this course is easily well over 100 hours of educational content.
- And you get access to the Q&A forum, where you can post specific questions about the course material and I answer as quickly as I can (typically 1-2 days).
- By the end of this course, you will have confidence in processing, cleaning, analyzing, and performing statistics on brain electrical activity.
What do you need to know before joining this course?
I have tried to make this course accessible to anyone who is interested in learning neural signal processing and time series analysis.
I believe you can simply start this course without any formal background in neuroscience/biology, and without any background in signal processing/math/statistics. That said, some background in these topics will definitely be helpful.
However, I do assume that you have access to MATLAB (or Octave), and that you have some basic MATLAB coding skills (variables, for-loops, basic plotting). If you are a total noob to MATLAB, then please first take an intro-MATLAB course and then come back here.
Why should you trust this weird Mike X Cohen guy?
I've been teaching this material for almost 20 years. I'm really dedicated to teaching and I work really hard to improve my courses each year.
Check out the reviews of this course and my other courses to see what my students think of my teaching style and dedication.
I've also written several textbooks on neural data analysis and scientific programming. And there are more books and more courses on the way!
... but you have to watch out for my weird sense of humor. You've been warned...
Who this course is for:
- Anyone interested in applied signal processing
- Interested in non-parametric statistics
- Existing or aspiring neuroscience students
- Anyone who wants to know what brain electrical signals look like
Формат видео: MP4
Видео: avc, 1920x1080, 16:9, 30.000 к/с, 358 кб/с
Аудио: aac lc, 44.1 кгц, 128 кб/с, 2 аудио
Изменения/Changes
Version 2022/11 has not changed compared to 2020/8 in the number of courses and duration of the course, but the quality of the course has increased from 720p to 1080p.
The 2022/11 version has not changed in the number of lessons and course duration compared to 2020/8, but the course quality has been reduced from 1080p to 720p.
The 2024/11 version has not changed in the number of lessons and duration of the course compared to 2022/8, but it has been updated after 2 years.
MediaInfo
General
Complete name : D:\2\Udemy - Complete neural signal processing and analysis Zero to hero (11.2024)\07. Time-frequency analysis\31. The multi-taper method.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 39.1 MiB
Duration : 11 min 3 s
Overall bit rate mode : Variable
Overall bit rate : 494 kb/s
Frame rate : 30.000 FPS
Writing application : Lavf61.9.100
Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : Main@L4
Format settings : CABAC / 4 Ref Frames
Format settings, CABAC : Yes
Format settings, Reference frames : 4 frames
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 11 min 3 s
Bit rate : 358 kb/s
Nominal bit rate : 800 kb/s
Width : 1 920 pixels
Height : 1 080 pixels
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) : 0.006
Stream size : 28.3 MiB (73%)
Writing library : x264 core 148
Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x1:0x111 / me=umh / subme=6 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=24 / lookahead_threads=4 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=60 / keyint_min=6 / scenecut=0 / intra_refresh=0 / rc_lookahead=60 / rc=cbr / mbtree=1 / bitrate=800 / ratetol=1.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / vbv_maxrate=800 / vbv_bufsize=1600 / nal_hrd=none / filler=0 / ip_ratio=1.40 / aq=1:1.00
Codec configuration box : avcC
Audio
ID : 2
Format : AAC LC
Format/Info : Advanced Audio Codec Low Complexity
Codec ID : mp4a-40-2
Duration : 11 min 3 s
Source duration : 11 min 3 s
Bit rate mode : Variable
Bit rate : 128 kb/s
Channel(s) : 2 channels
Channel layout : L R
Sampling rate : 44.1 kHz
Frame rate : 43.066 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 10.1 MiB (26%)
Source stream size : 10.1 MiB (26%)
Language : English
Default : Yes
Alternate group : 1
