Exploring neural data
In this online course from Brown University, I learned how real-life neuroscientists explore and interpret data that they receive from the brain. First, I learned how the brain works on a basic, neuronal level. Basically, each neuron is connected to others in small gaps called synapses. In these synapses, synaptic chemicals are released by the first neuron and are received by the other side of the synapse. The receptors then make the next neuron fire, and the brain moves information like this.
I learned how electrodes are able to sense the firings of neurons, and how the field has expanded technology to be able to sense actions from hundreds of neurons instead of just 1 or 3. I also learned how to write code in the language Python to analyze and graph signals from real-life neural data. Through this course, I feel that I learned a lot about how neuroscience is done in the real world.
I learned how electrodes are able to sense the firings of neurons, and how the field has expanded technology to be able to sense actions from hundreds of neurons instead of just 1 or 3. I also learned how to write code in the language Python to analyze and graph signals from real-life neural data. Through this course, I feel that I learned a lot about how neuroscience is done in the real world.