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Entry #:


Entry Title:

Modeling a Neuron Using the Reduced Hodgkin-Huxley Model

Project Description:

During the summer of 2022, I interned under Dr. Tetsuya Iwasaki, a professor at the University of California: Los Angeles (UCLA) and a member of the Cybernetic Control Lab at UCLA. Dr. Iwasaki guided me through a project on computationally modeling neurons using the Reduced Hodgkin-Huxley Model on MATLAB so I could learn more about neuroscience and further develop my programming skills. The program submitted for this entry was the first project in the internship that I completed related to neurons. Dr. Iwasaki gave me a document listing the functions of the Reduced Hodgkin-Huxley Model, and I took those functions and graphed them across a time period of 100 milliseconds to reproduce a graph found in the book, "Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience)". After I showed him my project, he showed me simplified versions of the lines I wrote, which I subsequently implemented in my code to make my future projects easier. More details about this project can be found in the first 3 pages (up to paragraph 2 of the 3rd page) as well as Figure 1 in the Results section of the pdf "Analysis of Neuronal Dynamics Using the Reduced Hodgkin-Huxley Model". This pdf details more projects that I did during the internship using the Reduced Hodgkin-Huxley Model.
These neuronal models can be used to help with further neuroscience discoveries and gain a deeper understanding of how the brain works.

Directions for viewing entry:

MATLAB must be used to run the program. However, if this is not possible, Figure I in the pdf "Analysis of Neuronal Dynamics Using the Reduced Hodgkin-Huxley Model" shows the results and their description.

Click the button for the full size photo or complete project.


For Category Descriptions and Judging Criteria, go to Categories & Regulations. To record your score for this entry, head to the scoring form.

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