Parallel Representation of Value-Based and Finite State-Based Strategies in the Ventral and Dorsal Striatum
Fig 7
Proportions of neurons coding variables of the value-based and finite state-based strategies.
Proportions of neurons showing significant correlations (p < 0.01, t test) with variables of the value-based strategy (FQ-learning) (A, B, C) and the finite state-based strategy (FSA model with 8 states) (D, E, F). These neurons were detected by lasso regularization of a Poisson regression model, which was conducted for 500 ms before and after the seven trial events (entry into the center hole, the tone onset, the tone offset, the exit from the center hole, the entry into the L/R hole, and the exit from the L/R hole) for DLS (blue), DMS (green), and VS (pink). Colored disks mean that the populations are significantly higher than by chance (p < 0.05, binominal test). (A) Neurons coding state values, the average of action values. (B) Neurons coding action values, QL and/or QR. (C) Neurons coding chosen values, action values for the selected action. (D) Neurons coding at least one cluster (sub-strategy) of the FSA model with 8 states; cluster left, and/or cluster right, and/or win-stay, lose-switch. (E) Neurons coding at least one current state from x1(t) to x8(t) of the FSA model. (F) Neurons coding at least one next state from x1(t+1) to x8(t+1) of the FSA model.