KU ELEC 436 - Bioelectronics
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Updated
May 17, 2021 - Python
KU ELEC 436 - Bioelectronics
an implementation of Hodgkin-Huxley model using python package numpy and brian2
Model of Motor Network during Parkinson's Disease and Deep Brain Stimulation. The model simulates LFP, EMG and associated force signals from the motor system. A multivariable adaptive control strategy is implemented in the model to control two biomarkers of Parkinsonian tremor and motor impairment symptoms.
A code for simulating neuronal firing under the Hodgkin-Huxley model.
Network Model of the Cortical Basal Ganglia during Parkinson's Disease and Deep Brain Stimulation
Various Numerical Analysis algorithms for science and engineering.
Python scripts supporting a tutorial on the Hodgkin-Huxley model.
Implementation of Hodgkin-Huxley Spiking Neuron Model
Implementation of a Spiking Neural Network in Tensorflow.
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