Scientists reveal how neurons affect the decision-making process

Several universities such as the University of Tubingen and the Max Planck Institute for Biological Control carried out cooperative research, which revealed how in the process of decision-making, a single neuron reconstructs the weights while maintaining the correlation with OTHER neurons. . Related papers were published in the recently published "Natural Neuroscience" magazine.

Whether in social life or in nature, decision-making is usually the result of the interaction of many factors. When people make final decisions, it is often difficult to determine how much weight various factors should occupy, that is, the importance of various factors for the entire event. Neuroscientists face similar problems because the decision is always made by brain neurons.

For example, when we see that someone on the opposite street is like an old friend, this information will be input into the brain through a large number of neurons. But among these neurons, which neurons are the key to transmitting information to the higher brain regions? Which neurons determine who this person is? Which determine whether we used to beckon with him in the past? Werner Leigh, University of Tubingen The research team led by Mattia Besger, a professor at the Chad Center for Comprehensive Neurosciences, developed an equation that allows people to calculate the importance of a sensory neuron in the decision-making process.

The researchers explained that just like a person who gets inside information about a crime, he is considered suspicious, and if the activity of a sensory neuron contains information related to the final decision, it is also considered to be A certain role is played in decision-making, a neuron is like a person. In this way, the decision-making problem becomes constant communication between neurons. A neuron that has nothing to do with decision-making may simply receive information from its neighbors and "join" it into the meeting. In fact, the key signals sent by neighboring neurons are passed to the brain's advanced decision-making area.

The researchers analyzed and processed this process, not only considering the information contained in the activity of each neuron, but also considering the communication between neurons, and thus developed a new equation that can determine the neuron ’s How to read the weights, that is, the decoding strategy, and determine whether a small number of neurons carry a lot of information about the decision, or whether they are included in a large number of interconnected neurons.

The researchers pointed out that they have also developed a test method that can determine whether the decoding weight is optimal for a task without knowing how a certain neuron is related to other neurons. This allows people to have It is possible to analyze some of the more basic questions, that is, in the decisions made by the brain using information, which decision path is the best and which path is the second.

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