Primate superior colliculus is engaged in abstract higher-order cognition
Peysakhovich, B.; Tetrick, S. M.; Silva, A. A.; Li, S.; Zhu, O.; Ibos, G.; Johnston, W. J.; Freedman, D. J.
Show abstract
Categorization is a fundamental cognitive process by which the brain assigns stimuli to behaviorally meaningful groups. Investigations of visual categorization in primates have identified a hierarchy of cortical areas that are involved in the transformation of sensory information into abstract category representations. However, categorization behaviors are ubiquitous across diverse animal species, even those without a neocortex, motivating the possibility that subcortical regions may contribute to abstract cognition in primates. One candidate structure is the superior colliculus (SC), an evolutionarily conserved midbrain region that, although traditionally thought to mediate only reflexive spatial orienting, is involved in cognitive tasks that require spatial orienting. Here, we reveal a novel role of the primate SC in abstract, higher-order visual cognition. We compared neural activity in the SC and the posterior parietal cortex (PPC), a region previously shown to causally contribute to category decisions, while monkeys performed a visual categorization task in which they report their decisions with a hand movement. The SC exhibits stronger and shorter-latency category encoding than the PPC, and inactivation of the SC markedly impairs monkeys category decisions. These results extend SCs established role in spatial orienting to abstract, non-spatial cognition.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Slow drift of neural activity as a signature of impulsivity in macaque visual and prefrontal cortex 97%
- A precise and adaptive neural mechanism for predictive temporal processing in the frontal cortex 97%
- Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics 97%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.