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AT2

Teachers

Anatoly Buchin (anat.buchin -at- gmail.com)

Francesca Mastrogiuseppe (fran.mastrogiuseppe -at- gmail.com)

 

Time & Place

Every Monday, 10.30-12.30, salle de Broglie, 45 rue des Saints Pères.

 

Literature

Textbook: Dayan & Abbott. Theoretical Neuroscience. MIT Press 2001.

 

Software

MATLAB or Scilab or Python (with Scipy NumPy and preferrably IPython )

 

Grading

50% homework, 50% final assignment

 

Planning

Date Content Instructions Literature Hand in
09/02/2015 Introduction; getting to know Python / MATLAB Project 1

SCILAB tutorial

MATLAB tutorial 
 

 
16/02/2015

Project 2

Learning

Project 2

Chapters 9.1-9.2 of Dayan & Abbott 

Project 1
23/02/2015

Project 2

Learning

Project 2

Chapter 9.3 of

Dayan & Abbott

 
02/03/2015

Project 2

Learning

Project 2 Glimcher (2001). TINS 24: 654 - 659  
09/03/2015

Project 3

Data analysis

Project 3

Chapters 1.1, 1.2, 1.4, 5.1-5.4 of Dayan & Abbott

 

Project 2
16/03/2015

Project 3

Data analysis

Project 3 Gabbiani & Koch (1998). Methods in Neural Modeling, MIT Press  
 23/03/2015

Project 3 

Data analysis

Project 3 Chapters 1.3, 1.5, 5.5, 5.6 of Dayan & Abbott  
30/03/2015 Project 4: Neural Networks Project 4

Chapter 7.4 of Dayan & Abbott

Project 3
06/04/2015  Vacances      

13/04/2015

Project 4:

Neural

Networks

Project 4 Bell & Sejnowski (1995). Neural Computation pdf  
20/04/2015

Project 4:

Neural

Networks

Project 4

Hopfield (1982). PNAS pdf

 
27/04/2015 Project 5: Reading and Implementing Project 5 Tsodyks & Markram (1997).
 
Project 4
04/05/2015 Project 5: Reading and Implementing Project 5 see: 27/04  
11/05/2015 Project 5: Reading and Implementing Project 5 see: 27/04  
18/05/2015       Project 5
25/05/2015  Vacances      
 01/06/2015 Exam      

 

Attached documents

INSERM ENS