- From www.coursera.org
Computational Neuroscience
МООК
en
Английский
48 h
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- Self-paced
- Free Access
- Fee-based Certificate
- 8 Sequences
- Introductive Level
Course details
Syllabus
- Week 1 - Introduction & Basic Neurobiology (Rajesh Rao)
This module includes an Introduction to Computational Neuroscience, along with a primer on Basic Neurobiology. - Week 2 - What do Neurons Encode? Neural Encoding Models (Adrienne Fairhall)
This module introduces you to the captivating world of neural information coding. You will learn about the technologies that are used to record brain activity. We will then develop some mathematical formulations that allow us to characterize spikes from neuron... - Week 3 - Extracting Information from Neurons: Neural Decoding (Adrienne Fairhall)
In this module, we turn the question of neural encoding around and ask: can we estimate what the brain is seeing, intending, or experiencing just from its neural activity? This is the problem of neural decoding and it is playing an increasingly important role ... - Week 4 - Information Theory & Neural Coding (Adrienne Fairhall)
This module will unravel the intimate connections between the venerable field of information theory and that equally venerable object called our brain. - Week 5 - Computing in Carbon (Adrienne Fairhall)
This module takes you into the world of biophysics of neurons, where you will meet one of the most famous mathematical models in neuroscience, the Hodgkin-Huxley model of action potential (spike) generation. We will also delve into other models of neurons and ... - Week 6 - Computing with Networks (Rajesh Rao)
This module explores how models of neurons can be connected to create network models. The first lecture shows you how to model those remarkable connections between neurons called synapses. This lecture will leave you in the company of a simple network of integ... - Week 7 - Networks that Learn: Plasticity in the Brain & Learning (Rajesh Rao)
This module investigates models of synaptic plasticity and learning in the brain, including a Canadian psychologist's prescient prescription for how neurons ought to learn (Hebbian learning) and the revelation that brains can do statistics (even if we ourselve... - Week 8 - Learning from Supervision and Rewards (Rajesh Rao)
In this last module, we explore supervised learning and reinforcement learning. The first lecture introduces you to supervised learning with the help of famous faces from politics and Bollywood, casts neurons as classifiers, and gives you a taste of that bedro...
Prerequisite
None.
Instructors
Rajesh P. N. Rao
Professor
Computer Science & Engineering
Adrienne Fairhall
Associate Professor
Physiology and Biophysics
Editor
L'Université de Washington est une université publique de recherche à Seattle , Washington. Fondée le 4 novembre 1861 sous le nom de Territorial University, Washington est l'une des plus anciennes universités de la côte ouest, il a été établi à Seattle environ une décennie après la fondation de la ville.
L'université possède un campus principal de 703 acres situé dans le quartier universitaire de la ville , ainsi que des campus à Tacoma et Bothell. Dans l'ensemble, UW comprend plus de 500 bâtiments et plus de 20 millions de pieds carrés bruts d'espace, y compris l'un des plus grands systèmes de bibliothèques au monde avec plus de 26 bibliothèques universitaires, centres d'art, musées, laboratoires, amphithéâtres et stades.
Washington est l'institution phare des six universités publiques de l'État de Washington. Il est connu pour sa recherche médicale, technique et scientifique.
Platform
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