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Nearly two decades ago, a professor at Stanford discovered that noisy neurons - brain cells with fluctuating signals - firing in an animal's sensory system seemed to affect the animal's decisions. The animal could be faced with the same stimulus and make different decisions depending on which direction these noisy neurons fired.
Recently, Dr. Tatiana Engel published a paper about a computer simulation that suggests these noisy neurons are necessary for learning. So is it possible your study session isn't going well because there's not enough "noise?" And how might we make use of this discovery in the future?
Where do YOU think our decisions come from? Are they conscious? Are they elements of things we’re unaware of, therefore are external to us? We want to hear your thoughts in the comments below!
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Tagged under: Brain,learning, learn, learning,studying, study,noise,noisy, noise, brain,brain music,brain damage,brain tricks,super brain,neurosurgery,neuron,neurology,machine learning,brain simulation,brain science, brain ,cerebrum,cerebellum,thalamus,hypothalamus,pituitary,pons,biology,science,technology,future,futurism,futurology,jonathan strickland
Clip makes it super easy to turn any public video into a formative assessment activity in your classroom.
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