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Gatsby Computational Neuroscience Unit

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Gatsby Unit Courses

 

2016– 2017

 

 

Term 1 courses from week of 3rd October 2016
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models

Term 2 courses from week of 23rd January 2017
Theoretical Neuroscience
Neural Data Modelling

All lectures are held in the Ground Floor Seminar Room, 25 Howland Street, London. W1T 4JG.

2015– 2016

 

 

Theoretical Neuroscience
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models 

Note: The courses will start on the 5th October 2015 and run in the same format as in previous years, but in a new location: Ground Floor Seminar Room, 25 Howland Street, London. W1T 4JG.

2014– 2015

 

 

Theoretical Neuroscience 
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models

2013– 2014

 

 

Theoretical Neuroscience
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models

2012– 2013

 

 

Theoretical Neuroscience
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models

2011– 2012

 

 

Theoretical Neuroscience
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models
2010– 2011 Theoretical Neuroscience 
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models
   
2009– 2010 Theoretical Neuroscience (part I) 
Probabilistic and Unsupervised Learning
Approximate Inference and Learning in Probabilistic Models
Machine Learning II & Journal Club
   
2008– 2009 Theoretical Neuroscience (part I) 
Probabilistic & Unsupervised Learning
Machine Learning II
   
2007 – 2008 Theoretical Neuroscience (part I)
Probabilistic & Unsupervised Learning
Machine Learning II
 
2006 – 2007 Theoretical Neuroscience (part I)
Unsupervised Learning
 
2005 – 2006 Theoretical Neuroscience (part I)
Unsupervised Learning
Theoretical Neuroscience (part II)
 
2004 – 2005 Theoretical Neuroscience (part I)
Unsupervised Learning
Supervised Learning
Theoretical Neuroscience (part II)