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Neural-adjuster

This is a simple slider tool that allows you to understand how each parameter affects the neural response and to find the best parameter you want.

Models

An implementation of the Morris-Lecar Neuron

Descrition of files:

  • morris_slider.ipynb - A python interactive implementation of the Morris Lecar model. You can adjust parameters for the neuron model and get the output in real-time.

  • morris_server.ipynb - A python interactive implementation of the Morris Lecar model. It will run in a server created under port:8888. You can change the port in the notebook if you are using different port for the Jupter Notebook(Jupyter Notebook will run under 8888 by default).

  • synapse_server.ipynb - A python interactive implementation of the Synapse model.

  • flask_embed.py - Run the script and you will get a server under port:8000. Go to http://127.0.0.1:8000/ to use the interactive adjuster.

    example_server_morris

An implementation of the Hodgkin Huxley Neuron

hodgkin_slider.ipynb - A python interactive implementation of the Hodgkin Huxley model. You can adjust parameters for the neuron model and get the output in real-time.

An implementation of the Integrate and Fire Neuron

IAF_slider.ipynb - A python interactive implementation of the Integrate and Fire model.

An implementation of the Leaky Integrate and Fire Neuron

LIF_slider.ipynb - A python interactive implementation of the Leaky Integrate and Fire model.

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An interactive adjuster for tuning parameters of neural models

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