Holmestime / interactive_neuron_model_simulator

Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...

Interative Neuron Models

In this repository, you can find a variety of computational neuron models, ranging from complex models such as the Hodgkin-Huxley model over to simple model like a leaky integrate-and-fire model; written in Python 3. Each of those is represented via a GUI, coded in tkinter, allowing the user to manipulate the external current as well as model specific key values.

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Required Python Packages

• Numpy
• Matplotlib
• Scipy
• tkinter

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Execution

Simply clone this repository, be sure to have all the required packages installed and execute Model_Simulator.py, which opens a menu of different models to choose from. After one is chosen, an interactive matplotlib window will open.

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Currently Available Models

• Hodgkin-Huxley Model
• Izhikevich Model
• Leaky Integrate-and-Fire Model
• FitzHugh-Nagumo Model

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Showcasing

Hodgin-Huxely

Izhikevich