Figure 1 (IMAGE)

The Korea Advanced Institute of Science and Technology (KAIST)

Figure 1

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(modified from the figures of the original paper doi:10.1038/s41467-019-13632-1). Computations implemented in the inferior prefrontal cortex during meta reinforcement learning. (A) Computational model of human prefrontal meta reinforcement learning (left) and the brain areas where the neural activity patterns are explained by the latent variables of the model. (B) Examples of behavioral profiles. Shown on the left is choice bias for different goal types and on the right is choice optimality for task complexity and uncertainty. (C) Parameter recoverability analysis. Compared are the effects of task uncertainty (left) and task complexity (right) on choice optimality.

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KAIST

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