4.8 Article

Uncertainty modulates visual maps during noninstrumental information demand

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NATURE COMMUNICATIONS
卷 13, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41467-022-33585-2

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  1. National Eye Institute [R01EY025158]
  2. National Institute of Mental Health [R01 MH-098039]
  3. Knud HOjgaards Fond
  4. Reinholdt W. Jorck og Hustrus Fond
  5. Viet-Jacobsens Fond

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Animals are motivated to obtain information independently of instrumental incentives, driven by a desire to resolve uncertainty and obtain positively-valenced observations. This study reveals that parietal neuronal activity is modulated by both uncertainty and valence, with uncertainty consistently correlating with behavioral sensitivity. The findings suggest distinct neural pathways for uncertainty-driven and valence-driven information demand.
Animals are intrinsically motivated to obtain information independently of instrumental incentives. This motivation depends on two factors: a desire to resolve uncertainty by gathering accurate information and a desire to obtain positively-valenced observations, which predict favorable rather than unfavorable outcomes. To understand the neural mechanisms, we recorded parietal cortical activity implicated in prioritizing stimuli for spatial attention and gaze, in a task in which monkeys were free (but not trained) to obtain information about probabilistic non-contingent rewards. We show that valence and uncertainty independently modulated parietal neuronal activity, and uncertainty but not reward-related enhancement consistently correlated with behavioral sensitivity. The findings suggest uncertainty-driven and valence-driven information demand depend on partially distinct pathways, with the former being consistently related to parietal responses and the latter depending on additional mechanisms implemented in downstream structures. Curiosity is motivated by uncertainty and valence, but how uncertainty and valence are encoded in the brain remains poorly understood. Here, the authors show that parietal neurons are enhanced by both factors, but that they specifically predict visual information seeking based on uncertainty.

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