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@@ -45,7 +45,7 @@ Additionally, within this directory you will find the 'Neuron Guidance' subfolde
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* A Python implementation of the MQIF Neuron, named **'MQIF_Neuron_Python.py'**. If you have previous experience with traditional software languages, (but maybe less experience with Simulink), we recommend exploring this file. Although it may appear daunting at first glance, the majority of the code consists of comments to assist you! This Python script is provided to facilitate your understanding of the MQIF neuron through standard coding practices, as the majority of the software in this project was developed in Simulink.
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* The script also contains a function for tracking spikes within the MQIF neuron's output burst. This concept is expanded upon in 'Simulink Neurons/Characterising' simulations, so familiarity with this function is recommended.
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* Explanatory literature explaining the neuroscience theory behind the software included in this repository.
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* Literature explaining the neuroscience theory underpinning the software contained within this repository.
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Once you have gained confidence with the Python/Notebook implementations of the neurons, consider examining the corresponding Simulink implementations available in the 'Simulink Neurons/Core Neurons' directory. The most important model is the 'MQIF_Neuron_Synapse.slx' file, as it serves as the foundational neuron for all central pattern generator circuits within this repository. In support of this, a video lecture has been recorded to aid your understanding: [MQIF_Synapse Explanation](https://youtu.be/Tk5bJmx7L14).
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