The Human Nervous System

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Introduction The human nervous system is composed of billions of neurons that respond to stimuli, conduct impulses, and communicate with other cells. Dendrites, a branched extension of a nerve cell, receives information from other neurons. The soma, or cell body, is responsible for whether or not the neuron sends out signals consisting of a short electrical pulse called an action potential, or spike. This spike is carried out by axons, delivering it to other neurons, and has a duration of a few milliseconds and an amplitude of 100 mV. A biological neuron model is a mathematical description of the properties of nerve cells that is designed to accurately describe and predict biological processes. One way to do so is by using the integrate-and-fire model which displays a trajectory of fluctuating potential versus time in the sub-threshold regime and outputs spikes that are triggered when the membrane potential reaches its threshold. Once this threshold is reached, the membrane potential is then reset, allowing the process to start again.
Model Simulation and Graphs In creating the leaky integrate-and-fire model, using the information given, such as the parameters and threshold we created an if-statement within a for-loop (see Appendix A for complete code). The code was set with parameters 푅 and 휏 equal to one and 퐼0 equal to two. Setting the step size to .01 and calling for 600 steps, the code was able to produce eleven spikes. The code provides a for-loop which takes the
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