한빛사논문
Seong-Hwan Hwang 1,2,5, Doyoung Park 2,3,4,5, Ji-Woo Lee 1,5, Sue-Hyun Lee 4,6,* & Hyoung F. Kim 1,2,6,*
1School of Biological Sciences, College of Natural Sciences, Seoul National University (SNU), Seoul 08826, Republic of Korea.
2Institute for Data Innovation in Science, Seoul National University (SNU), Seoul 08826, Republic of Korea.
3Institute of Psychological Sciences, Institute of Social Sciences, Seoul National University (SNU), Seoul 08826, Republic of Korea.
4Department of Psychology, College of Social Sciences, Seoul National University (SNU), Seoul 08826, Republic of Korea.
5These authors contributed equally: Seong-Hwan Hwang, Doyoung Park, Ji-Woo Lee.
6These authors jointly supervised this work: Sue-Hyun Lee, Hyoung F. Kim.
*Corresponding authors: correspondence to Sue-Hyun Lee or Hyoung F. Kim
Abstract
Animals can discriminate diverse sensory values with a limited number of neurons, raising questions about how the brain utilizes neural resources to efficiently process multi-dimensional inputs for decision-making. Here, we demonstrate that this efficiency is achieved by reducing sensory dimensions and converging towards the value dimension essential for goal-directed behavior in the putamen. Humans and monkeys performed tactile and visual value discrimination tasks while their neural responses were examined. Value information, whether originating from tactile or visual stimuli, was found to be processed within the human putamen using fMRI. Notably, at the single-neuron level in the macaque putamen, half of the individual neurons encode values independently of sensory inputs, while the other half selectively encode tactile or visual value. The responses of bimodal value neurons correlate with value-guided finger insertion behavior in both tasks, whereas modality-selective value neurons show task-specific correlations. Simulation using these neurons reveals that the presence of bimodal value neurons enables value discrimination with a significantly reduced number of neurons compared to simulations without them. Our data indicate that individual neurons in the primate putamen process different values in a convergent manner, thereby facilitating the efficient use of constrained neural resources for value-guided behavior.
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