Extended Data Fig. 10: PSID reveals low-dimensional behaviorally relevant dynamics in prefrontal raw LFP activity during a task with saccadic eye movements.
From: Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification
(a)-(h) Figure convention for all panels is the same as in Fig. 3a–d, shown here for a completely different behavioral task, brain region, and neural signal type. Here monkeys perform saccadic eye movements while PFC activity is being recorded (Methods). Raw LFP activity is modeled and the behavior consists of the 2D position of the eye. Similar results hold with PSID more accurately identifying the behaviorally relevant neural dynamics than both NDM and RM. PSID again reveals a markedly lower dimension for behaviorally relevant neural dynamics than NDM. Also, note that RM provides no control over the dimension of dynamics and is forced to use a state dimension equal to the behavior dimension (nz =2), which in this case is an underestimation of dimension of behaviorally relevant dynamics in neural activity as evident by RM’s much worse decoding accuracy compared with PSID. Statistical tests are one-sided signed-rank for which the P-values are noted above the asterisks (n = 27 and n = 43 datasets in monkeys A and S, respectively).
