Master Thesis Projects are started once the complete master program is finished and all the credits have been obtained.
Projects for SSC and SIN students should last 4 months at the EPFL or 6 months in the industry or in another University.
Master Thesis Projects must be done individually.
Master Thesis Projects are worth 30 credits.
Students must have the approval of the Professor in charge of the laboratory before registering for the given project.
List of Projects – Autumn 2019:
Human memory operates with associations. If you visited a famous place with your best friend, any postcard of that famous place will remind you of him or her. Experimental evidence suggests that associative memory is stored by cell assemblies that respond selectively to single concepts. Associations between different concepts are encoded in the overlap between the respective cell assemblies.
Associative memory is traditionally modeled through attractor neural networks (ANN). Memory engrams are represented by binary or Gaussian patterns.
In this project, the student will consider an ANN with Gaussian patterns and study how the stability of a single memory pattern is affected by the correlation with other patterns. This, so far, remains an open question and it is complementary to the more traditional study of ANNs with binary patterns.
The student will first get to learn about the well-established literature on ANN.
Secondly, using mean-field approximation, the student will derive analytic equations for the network dynamics in the case of correlated patterns. The goal is to look for a critical correlation Cˆ∗ (which corresponds to a percentage of shared neurons) above which patterns are not distinguishable.
Finally, the student will solve the equations he/she derived and compare his/her prediction with the full network simulation.
Requirements: Python programming (knowledge of Julialang is recommended but not necessary)
Interested students should send grades and CV to Chiara Gastaldi