Optimal brain processing requires balance between excitatory and inhibitory neurons, suggested study

The ability to brain-processing information is known to be supported by the intricate connection between different neuron population. An important goal of neurosce research is to withdraw processes by these connections influenced information processing.

The University of Padova researchers, the Max Planck Institute for the physics of complex systems and Écele Polytechnique Fédérale intended to prompt excitatory information and inuron encoding information in the brain information. They found, contamination on Physical Review Lettersshow that Processing information have been maximized if the activity of excitatory activity and inhibitory neurons.

“Our research is inspired by a basic Neuroscience question: How is the brain structure that makes the ability to process information?” Giaoma Barzon, paper co-author, speaking medical Xpress. “The brain continuously receives and integrates sensory inputs, and neurons do not act in isolation-they are part of complex, recurrent networks. One particularly intriguing feature of these networks is the balance between the actuity of excitatory and inhibitory neurons, which has been observed across Different Brain Regions. “

The essential purpose of this recent study of Barzon and his companions is to determine whether the balance between excitatory and inhibitory neurons do more than heal Neural activity. Specifically, the team checks the possibility that this balance is also optimizing information processing.

“Motivated by many experiments and Teoretical Funings Emphasizes the importance of balance between excitatory and inhibitory neuron, we checked a model with outdoor instructions, “explains the goods in the rooms, Neural Networks Optimization for accurate encoding of high timescales may not be able to respond less on intensity input changes. “

The use of math and theoretical methods for information processing, indicators show that information process is most effective in the content of strength, a critical condition in which excitatory activity and inhibitory neuron balance. Their results suggest that the good tuning of this exhibition seizure is not only strengthening brain activity, but can also have an important role in openus information encoding.

“In our study, we have made a show from an information-thorticetic perspective between participation and banning of external signals,” Giorgio Nicoletti, co-author of the paper said. “It is more interesting because the balance of the exhibitition is recognized as an important component of regulating neural activity as a physical value.”

This new work of Barzon, Bustiello and Nicoletti may open new paths for study processing information and the underlying neural mechanisms. In their subsequent studies, researchers plan to build their results, using the same method of studying more complex brain connection structures.

“In addition, in real neural networks, the connection is not static – it has evolved in the long run, influenced by an outward stimuli activity,” Barzon added. “This dynamic attitude of connection can significantly role-shaped with how neural information encoding, with information and tailoring properties affects the encoding of neural systems.”

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