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Computational Neuroscience

University of Washington via Coursera

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  • Provider Coursera
  • Subject Artificial Intelligence
  • $ Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 6-8 hours a week
  • Start Date
  • Duration 8 weeks long

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Overview

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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.

Taught by

Rajesh Rao and Adrienne Fairhall

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Reviews for Coursera's Computational Neuroscience
3.5 Based on 8 reviews

  • 5 star 0%
  • 4 stars 63%
  • 3 stars 25%
  • 2 star 13%
  • 1 star 0%

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  • 1
Anonymous
4.0 5 years ago
Anonymous completed this course.
First Lecture Series was very good and interesting. If a "Cloud-Based" Lab was added to get real experience with Neurons and Modelling via Octave/Matlab code...it would really be an improvement over existing educational programs.
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Amaan C
4.0 3 years ago
Amaan partially completed this course.
1 person found
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Ali T
3.0 3 years ago
by Ali partially completed this course.
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Daniel F
4.0 2 years ago
Daniel completed this course.
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Colin K
4.0 2 years ago
by Colin completed this course.
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Filip M
3.0 2 years ago
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Martin N
4.0 2 years ago
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Alex I
2.0 2 years ago
Alex audited this course.
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