  Decoding neurons to extract information from transmission and employ them
into other use is the goal of neuroscientists' study. Due to that the field of
neuroscience is utilizing the traditional methods presently, we hence combine
the state-of-the-art deep learning techniques with the theory of neuron
decoding to discuss its potential of accomplishment. Besides, the stress level
that is related to neuron activity in hippocampus is statistically examined as
well. The experiments suggest that our state-of-the-art deep learning-based
stress determinator provides good performance with respect to its model
prediction accuracy and additionally, there is strong evidence against
equivalence of mouse stress level under diverse environments.

Machine Learning;Neurons and Cognition;Applications;Machine Learning