Neuroscientists at the University of Chicago focus on short-term by understanding how functional memory uses networks of neurons diversely depending on the intricacy of the task at hand. The current study shows fresh artificial intelligence (AI) methods to coach computational neural networks so as to unravel diverse complex behavioral tasks that insisted on storing data in short- term memory. The brain’s biological structure based AI networks helped reveal two distinct processes that play a role in short-term memory. A silent process is where the brain stores short-term memories without the need for neural activity and in the other process the circuits of neurons fire incessantly. The short-term memory comprises of various different processes such recalling an earlier observed event or manipulating the memory already present in the memory. Thus, the memory task requires two different neural mechanisms to work collaboratively.
The scientists have studied the process of how the brain sees the information captured in the memory using various monitoring electrical activity patterns so as to understand the short-term memory usage. The brain cell’s activity was monitored and measured following which the researchers found the neural circuits to be unusually quiet. Thus, it led to the fact that the silent memories could be stored in temporary changes such as synapses between neurons. The researchers are using AI approaches for using the data obtained from clinical experiments to fabricate networks to help know more about the memory tasks.
A persistent neuronal activity was found to exist in complex and short-term tasks. The time a neuron gets an input the electrical spike in activity is generated that forms synapses between neurons that leads to a chain reaction being fired. With the help of AI, one can see how the neurons fired even after the input was stopped like an echo. In the second process, the brain kept the information in memory without persistent activity which is similar to how brain stores events in long-term memory by forming complex networks of connections amid the neurons. The AI models showed the short-term memory to use plasticity in the synaptic connections amid neurons for temporarily remembering information. Researchers at the University of Pittsburgh have found that people have to train their brains to perform certain tasks in case of the brain injured individuals. The current study showed that novel neural activity patterns surfaced with long-term learning and formed a contributory link between the patterns and latest behavioral skills.