The brain's solution for seeing as is and seeing flexibly

August 14, 2017, Society for Neuroscience
The dorsal (upper) pathway sees objects according to what they are and what we do with them while the ventral (lower) pathway sees objects as they always are. Credit: Maryam Vaziri-Pashkam and Yaoda Xu

New experiments described in The Journal of Neuroscience support distinct roles for two brain pathways in processing information related to an object, with one carrying a largely invariant representation of an object and the other a flexible one depending on what we do with an object.

Visual information is thought to be processed in two different routes in the brain: A ventral pathway carries information about "what" an object is while a dorsal pathway represents "where" an object is in space. Recent studies have challenged this distinction by demonstrating robust object "what" information in the dorsal pathway. This leaves open the questions of how object processing differs between the two pathways and whether a two-pathway distinction is still valid.

Maryam Vaziri-Pashkam and Yaoda Xu addressed these questions by having seven healthy adults focus on the color or shape in photographs of common objects spanning eight categories including faces, cats and chairs. Participants pressed a button when either the same object or same color appeared back to back. The authors found that the dorsal pathway sees objects according to what they are and what we do with them, grouping objects in the same task setting together. The ventral pathway, on the other hand, sees objects as they always are regardless of the task. This distinction captures two seemingly conflicting aspects of processing: To truthfully represent an and at the same time represent that flexibly according to goals and desires.

The finding helps to clarify the roles of each in visual processing.

Explore further: Team sheds light on how our brains see the world

More information: Goal-directed visual processing differentially impacts human ventral and dorsal visual representations , Journal of Neuroscience (2017). DOI: 10.1523/JNEUROSCI.3392-16.2017

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