Neuroscientists shed light on how the brain links objects with meaning and value
Beth Israel Deaconess Medical Center News Oct 13, 2018
As visual information streams in through the eyes, multiple groups of neurons process different kinds of information. In a new paper published in the journal Neuron, a team of researchers at Beth Israel Deaconess Medical Center (BIDMC) used a sophisticated microscope to watch the activity of hundreds of neurons in the lateral visual association cortex of mice as they viewed images associated either with food or with non-food reward outcomes. The researchers observed that one subset identifies shapes, colors, and objects—a colorful roadside sign, for example—while another group assigns meaning to those visual stimuli so that colorful roadside sign becomes a logo signaling the availability of food.
What’s more, the team—led by corresponding author, Mark Andermann, PhD—observed that the object-identifying neurons responded equally to a given stimuli regardless of whether the mice were hungry or sated. In contrast, the neurons tracking an object’s predicted outcome—is it a traffic sign or a restaurant logo that signals the potential availability of food?—showed highly flexible responses that depended on the animals’ hunger state.
“The findings were quite surprising, because we expected that both groups of neurons would be more sensitive to food-predicting cues and hunger state,” said Andermann, a member of the Division of Endocrinology, Diabetes and Metabolism at BIDMC and an associate professor of medicine at Harvard Medical School. “But that was true only in one subset of neurons. Understanding how this group of neurons becomes attuned to initially arbitrary shapes during learning is at the core of understanding how the brain’s representations of objects in the world become imbued with meaning and value.”
Based on these findings, Andermann’s team developed a hypothetical neural wiring diagram in which different parts of the brain send specific inputs either to identity-tracking neurons or to outcome-tracking neurons.
“Our observations suggest there is a division of labor between neighboring neurons that react to the presentation of the same image,” Andermann added. “One neuron may react to the sudden appearance of an unexpected shape, while another may react to the cue that something valuable is now available. We hope that this work can help us understand how the brain links the identity of a given object with the meaning that we learn to associate with that object.”
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