Thesis Project Form
Title (tentative): A computational model of the in vitro cortical-hippocampal dynamics| Thesis advisor(s): Massobrio Paolo | E-mail: |
| Address: Via All'Opera Pia, 13 - 16145 Genova | Phone: (+39) 010 33 52761 |
Description
Motivation and application domain
The investigation of the computational properties of the cortical-hippocampal circuit is of great importance in the coding properties of the brain.
In this work, the student will develop a computational model of the cortical-hippocampal network driven by the experimental findings achieved by in vitro recordings.
In this work, the student will develop a computational model of the cortical-hippocampal network driven by the experimental findings achieved by in vitro recordings.
General objectives and main activities
In this work, the student will develop a computational model of the cortical-hippocampal network driven by the experimental findings achieved by in vitro recordings in order to understand which kind of connectivity principles rule the network dynamics.
Training Objectives (technical/analytical tools, experimental methodologies)
- Development of large-scale network models
- Use of Matlab/Python for modeling large-scale networks
- Data analysis
- Use of Matlab/Python for modeling large-scale networks
- Data analysis
Place(s) where the thesis work will be carried out:
Additional information
Pre-requisite abilities/skills: Computational Neuroscience, Matlab Programming
Curriculum: Neuroengineering
Maximum number of students: 1