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Human claustrum neurons encode uncertainty and prediction errors during aversive learning
Mingyue Hu1, Rodrigo Dalvit1, Mauricio Medina-Pizarro1,2
1Department of Neurosurgery, Yale University, New Haven, CT, USA.
Abstract:
Flexible behavior depends on continuous updating of internal models, yet the neural circuits coordinating this process remain poorly understood [1]. The claustrum - reciprocally connected to nearly the entire neocortex - is uniquely positioned to influence cortical processing. Here we report single-neuron recordings from the human claustrum during aversive learning [2], with anterior cingulate cortex and amygdala recordings for comparison. Claustrum and anterior cingulate neurons displayed structured, task-related responses. Distinct subpopulations encoded stimulus onset and action-contingent outcomes, with outcome representations diverging between regions. Critically, both regions encoded model-derived latent variables - uncertainty and prediction error - but with different temporal profiles: only the anterior cingulate carried uncertainty signals during the intertrial period, while both regions encoded uncertainty and prediction error during the active-avoidance period. The amygdala, by contrast, showed minimal latent-variable modulation. These findings provide evidence that human claustrum neurons track higher-order cognitive variables not directly observable from sensory input, and reveal dissociable roles for the claustrum and anterior cingulate cortex in tracking latent task states.
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