Decoding the Brain’s Decision-Making Process: Insights from Cortical Circuits

Published on November 3, 2022

Imagine you’re a detective trying to crack a case, and you’re constantly bombarded with bits of evidence. The challenge lies not only in processing this information but also in retaining it when there are gaps in the evidence. Well, scientists have been exploring this very conundrum in the realm of neuroscience. By studying computational models, they’ve discovered that the brain has a clever way of dealing with uncertainty by integrating sensory evidence. These researchers found that cortical circuits can switch between two modes during decision-making: one for retaining evidence and the other for integrating it. In fact, depending on how the evidence was readout, they were able to simulate distinct activity patterns similar to those observed in primate parietal cortex. This exciting finding may help reconcile previous studies and shed light on the underlying mechanisms of decision-making in the brain. To dive deeper into this fascinating research, check out the full article!

The intrinsic uncertainty of sensory information (i.e., evidence) does not necessarily deter an observer from making a reliable decision. Indeed, uncertainty can be reduced by integrating (accumulating) incoming sensory evidence. It is widely thought that this accumulation is instantiated via recurrent rate-code neural networks. Yet, these networks do not fully explain important aspects of perceptual decision-making, such as a subject’s ability to retain accumulated evidence during temporal gaps in the sensory evidence. Here, we utilized computational models to show that cortical circuits can switch flexibly between “retention” and “integration” modes during perceptual decision-making. Further, we found that, depending on how the sensory evidence was readout, we could simulate “stepping” and “ramping” activity patterns, which may be analogous to those seen in different studies of decision-making in the primate parietal cortex. This finding may reconcile these previous empirical studies because it suggests these two activity patterns emerge from the same mechanism.

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