New research from Vanderbilt University reveals that our brain accumulates evidence when faced with a choice and triggers an action once that evidence reaches a tipping point.

“We found that certain neurons seem to represent the accumulation of evidence to a threshold and others represent the evidence itself, and that these two types of neurons interact to drive decision making,” said Braden Purcell, a doctoral student in the Department of Psychology and lead author of the new study.

The researchers presented monkeys with a simple visual task of finding a target on a screen that also included distracting items. The researchers found that neurons processing visual information from the screen fed that information to the neurons responsible for movement. These movement neurons served as gatekeepers, suppressing action until the information they received from the visual neurons was sufficiently clear. When that occurred, the movement neurons then proceeded to trigger the chosen movement.

The researchers also found that the movement neurons mediated a competition between what was being seen — in this case, the target and distracting items — and ensured that the decision was made to look to the proper item.

For every vote it receives for one candidate, the brain suppresses a vote for the other candidate, exaggerating the differences between the two,” Jeffrey Schall, E. Bronson Ingram Chair in Neuroscience and co-author of the study said. “The system that makes the response doesn’t listen to the vote tally until it’s clear that the election is going towards one particular candidate. At that point, the circuitry that makes the movement is triggered and the movement takes place.”

The findings offer potential insights into some psychological disorders.

“Impairments in decision-making are at the core of a variety of psychological and neurological impairments. For example, previous work suggests that ADHD patients may suffer deficits in controlling evidence accumulation,” Purcell said. “This work may help us to understand why these deficits occur at a neurobiological level.”

An important piece of this research is the novel model the researchers used in the study. The new model combined a mathematical prediction of what they thought would transpire with actual data about what the neurons were doing.

“In a model, usually all the elements are defined by mathematical equations or computational expressions,” Thomas Palmeri, associate professor of psychology and a co-author of the study, said. “In our work, rather than coming up with a mathematical expression for the inputs to the neural decision process, we defined those inputs with actual recordings from neurons. This hybrid model predicts both where and when the eyes move, and variability in the timing of those movements.”

“This approach provides insight between psychological processes and what neurons are doing,” Schall said. “If we want to understand the mind-brain problem, this is what solutions look like.”

The research was published in the October issue of Psychological Review.

The research was supported by the Temporal Dynamics of Learning Center, the National Science Foundation, the Air Force Office of Scientific Research, the James S. McDonnell Foundation and the National Institutes of Health as well as Robin and Richard Patton through the E. Bronson Ingram Chair in Neuroscience.

Adapted from materials provided by Vanderbilt University.