btromm/homeostatic-tuning

Exploring mRNA- and conductance-level correlations between neurons within specific homeostatic regulation schema

Variability in Homeostatic Tuning Rules Produces Diverse Correlations Between Ion Channels

An (undergraduate) Senior Thesis

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NEUR 99B: Senior Thesis
Brandeis University, Fall 2019 - Spring 2020

Author: Bobby Tromm

btromm@brandeis.edu
B/S Neuroscience '20
Department of Biology, School of Arts and Sciences, Brandeis University
☎️ github, linkedin

Thesis Advisor

Eve Marder, PhD
Professor of Biology, Member of US National Academy of Sciences
marder@brandeis.edu
Volen Center for Complex Systems, Department of Biology, Brandeis University

Code can be reproduced by following these instructions:

• Use pull_all_gbars.m to generate steady state maximal conductances for each experiment. (Note: This will take a while -- even in parallel, running 5000 simulations takes a few minutes!)
• Generate figures by loading saved .mat files into your MATLAB workspace and running full_figure.m (see code for input arguments)

Note that your results may look marginally different than mine! Running 1000 simulations per experiment does even things out quite a bit, but nonetheless each model is initialized to quasi-random values, so output may be a bit different.

You can compile the thesis from source if you wish, or you may download the PDF here.