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Brain's 'lowly' visual processor is more sophisticated than once thought

Date:
April 6, 2015
Source:
Johns Hopkins Medicine
Summary:
When managing, assigning each task to a specialist is often the most efficient strategy. Most researchers regard the brain as working similarly, with each region specialized to a given task. But now neuroscientists have found, in rats, that the brain's primary visual cortex not only portrays the visual world but can also drive the timing of actions.
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When managing, assigning each task to a specialist is often the most efficient strategy. Most researchers regard the brain as working similarly, with each region specialized to a given task. But Johns Hopkins neuroscientists have found, in rats, that the brain's primary visual cortex (VC) not only portrays the visual world but can also drive the timing of actions.

"Here we show that the 'lowly' visual cortex, rather than simply processing the visual world, is involved in 'higher' cognitive tasks, like deciding when to time a response," says Marshall G. Hussain Shuler, Ph.D., an assistant professor of neuroscience at the Johns Hopkins University School of Medicine and the senior author on the report, which will appear in the April 8th issue of the journal Neuron.

Traditionally, the brain's lead-up to physical actions was thought to take place in three discrete regions. First, a sensory area, like the VC, would receive stimuli about the world outside; then, an associative area would process that information and choose a course of action; and finally, a motor area would command the appropriate muscles to move. But previous research from the Shuler lab showed that the VC can also "learn" time intervals to set expectations of future rewards. In this study, they examined whether the brain uses that information to decide when to time a response.

To answer that question, they created a situation in which rats had to properly time their actions to receive a reward. The rats were fitted with goggles that would give a flash of light soon after the rat approached a location containing a waterspout. After dozens of trials, the rats learned that they would receive more water from the spout the longer they waited to lick it after the flash of light, but only up to a point. If they waited too long, they wouldn't receive any water at all. Soon, the rats were accurately predicting the ideal wait time for receiving the most water.

During the trials, the researchers recorded the firing of nerve cells within the VC. What they saw was that the firing of a subset of cells coincided with the timing of the rats' licks. When the scientists tweaked the activity of VC cells, the timing of the rats' behavior changed as predicted.

"These observations, along with our formal model rationalizing how they come about, advance our understanding of how the brain learns to appropriately time actions in response to predictive cues and, surprisingly, implicates the 'lowly' visual cortex in that decision-making process," says Shuler.

Other authors of the report include Vijay Namboodiri and Kevin Monk of the Johns Hopkins University School of Medicine and Marco Huertas and Harel Shouval of the University of Texas, Houston.

This work was supported by the National Institute of Mental Health (R01 MH084911, R01 MH093665).


Story Source:

Materials provided by Johns Hopkins Medicine. Note: Content may be edited for style and length.


Journal Reference:

  1. Marshall G. Hussain Shuler et al. Visually Cued Action Timing in the Primary Visual Cortex. Neuron, April 2015 DOI: 10.1016/j.neuron.2015.02.043

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Johns Hopkins Medicine. "Brain's 'lowly' visual processor is more sophisticated than once thought." ScienceDaily. ScienceDaily, 6 April 2015. <www.sciencedaily.com/releases/2015/04/150406120907.htm>.
Johns Hopkins Medicine. (2015, April 6). Brain's 'lowly' visual processor is more sophisticated than once thought. ScienceDaily. Retrieved May 22, 2017 from www.sciencedaily.com/releases/2015/04/150406120907.htm
Johns Hopkins Medicine. "Brain's 'lowly' visual processor is more sophisticated than once thought." ScienceDaily. www.sciencedaily.com/releases/2015/04/150406120907.htm (accessed May 22, 2017).

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