Project Overview

Effects of Network Topology on Hippocampal Model Behavior

Faculty Sponsor

Patrick Crotty (


Physics and Astronomy


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.

Student Qualifications

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

2 students

Project Length

8 weeks

Applications open on 01/15/2017 and close on 02/07/2017

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If you have questions, please contact Karyn Belanger (