Figure 2
From: Decoding behavior from global cerebrovascular activity using neural networks
Examples of decoding within a given acquisition. ROI-based networks allowed for decoding the animal’s brain state within one recording with high performance, as shown by the temporal profiles on (a) (moving vs static) and (b) (sleep/wake states). Panel (a) shows the animal’s speed (top profile) and the corresponding classification labels (true state in green on middle profile). The dashed black lines on the middle profile corresponding to the networks’ prediction show excellent agreement with the true state. The bottom profile shows the networks prediction in terms of state (shaded areas are “true” states), uncertainty (black) and errors (red dots), mostly located at state transitions. Excellent agreement between the true and predicted state is also visible for the sleep/wake state decoding on panel b, except at state transitions.
