Research by neuroscientists from Chicago University proves how working, short-term memory uses neurons and networks. This happens on the basis of the complexity of tasks.
The researchers employ innovative AI solutions to train neuron networks to simplify complex behavioral tasks. Though, the artificial intelligence networks would depend on the biological structure of the brain. And it exposes two dissimilar processes in short-term memory. The ‘silent’ process holds short-term memory. And another one is a more active process in which circuits of neurons fires constantly.
The research, led by Nicholas Masse, Scientist at Chicago, was publishing recently in Nature Neuroscience. Short-Term memory is possibly composing the number of different processes. It may include simple to complex processes.
Active versus Silent Memory
Our daily tasks need the use of working memory and information. Many times, you actively keep in mind some tasks in your head. And you passively remember information which you can remember later.
Scientists have researched a lot about brain activities and memory by observing a pattern of electric brain activities. Those activities require short-term memory.
While these experiments of biological neuron networks, scientists were able to monitor two processes. That is active during short-term memory processing. The ‘persistent neuronal activity’ which is obvious over more complex. If the neuron receives an input, it produces an electrical spike in an activity.
The neurons generate synapses with the help of neurons. And if one neuron fires then it activates a chain reaction to process another neuron fire.
Generally, this pattern of activities ends once the process input is left. Artificial Intelligence shows that if performing such tasks, some of the neurons circuits will continue firing. And this will remain even if the input is gone.