This project investigates the role that the topology of a neural network (the mathematical pattern of interneuronal connections) has on the behavior of a computational model of the hippocampus, a part of the brain responsible for spatial navigation and short-term memory. The goal is to relate the performance of the model, and possibly of real-world brains, to mathematical measures of networks such as clustering coefficients and degree distributions.
The project will involve extensive programming in Python on a Linux computer cluster. Students will also be expected to learn (with help from me) basic neuroscience and network theory. A knowledge of statistical mechanics is helpful but not required.
Number of Student Researchers
Applications open on 01/15/2017 and close on 02/07/2017