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Resources to learn Computational Neuroscience on your Own (a self-study guide)

Collection by Char Fraza
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  • Apr 15, 2022
  • #Neuroscience
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Hiđź‘‹, today I want to give you a program with which you can start to study computational neuroscience by yourself.

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    All Book Paper Course Video Website
Book 2006
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Pattern Recognition and Machine Learning
  • by
    Christopher M. Bishop
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have g
www.goodreads.com
1 Recommender
Book Jun 15, 2002
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Information Theory, Inference and Learning Algorithms
  • by
    David J.C. MacKay
Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational
www.goodreads.com
2 Recommenders
Course
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Supervised Machine Learning: Regression and Classification
  • by
    Andrew Ng
Learn Machine Learning from Stanford University. Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, ...
www.coursera.org
1 Recommender
Website
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Gilbert Strang's Homepage
  • by
    Gilbert Strang
Prof. Gilbert Strang's Home Page, MIT Math Dept. Containsrecent wavelet and applied math papers, textbooks, and shortcourseinformation.
math.mit.edu
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Course
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Fundamentals of Statistics
learning.edx.org
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Course
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Probability - The Science of Uncertainty and Data
learning.edx.org
1 Recommender
Book Dec 31, 2012
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Naked Statistics: Stripping the Dread from the Data
  • by
    Charles Wheelan
Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps
www.amazon.com
3 Recommenders
Book Jan 1, 1981
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Introduction to Electrodynamics
  • by
    David J. Griffiths
Introduction to Electrodynamics book. Read 126 reviews from the world's largest community for readers. This work offers accesible coverage of the fundame...
www.goodreads.com
1 Recommender
Video Jun 5, 2020
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Bert Kappen: Quantum Machine Learning
  • by
    Bert Kappen
Invited Talk of Bert Kappen at the virtual Conference on a FAIR Data Infrastructure for Materials Genomics (June 2020) https://th.fhi-berlin.mpg.de/meetings/fairdi2020/ ----------------------------------------------------- Bert Kappen Department of Biophysics Radboud University Quantum Machine Learn
www.youtube.com 23 min
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Paper
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Deep learning in alternate reality
  • by
    Rufin VanRullen
Similarities and differences between deep learning models and primate vision have been the focus of recent research. Audition is comparatively less-studied. A new report describes the emergence of human-like auditory perception in a deep neural network, and suggests a promising way to relate percept
www.nature.com
1 Recommender
Paper
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Neurons as will and representation
  • by
    Itzhak Fried
Memory recollections and voluntary actions are often perceived as spontaneously generated irrespective of external stimuli. Although products of our neurons, they are only rarely accessible in humans at the neuronal level. Here I review insights gleaned from unique neurosurgical opportunities to rec
www.nature.com
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Paper
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Charting brain growth and aging at high spatial precision
  • by
    Saige Rutherford
During an individual's lifetime, their brain undergoes a unique transformation that we have precisely mapped across thousands of people to create and share reference growth charts of the human brain's lifespan which allow for single subject exploration and inference.
elifesciences.org
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