Fig. 2: Selective encoding of temporal context in a PFC-MD model.
From: Rapid context inference in a thalamocortical model using recurrent neural networks
A An attention-guided behavioral task with two cueing contexts presented in blocks. B Neural networks are trained in similar alternating blocks. Cues 1 and 2 are used in context 1, while cues 3 and 4 used in context 2. Block 3 returns to context 1 to evaluate the model performance in continual learning. C The PFC and the MD neuronal activities in one single early trial of context 1 and context 2. D Decoding context (left) and rule (right) in model PFC (red) and MD (blue). MD contains information about the current context, but not the current rule (cue). Shaded area: cue period. E The decoding performance of context (brown) and rule (green) in the MD with varying numbers of cycles during training. Each cycle consists of two trials of cue 1 and cue 2 during context 1 and two trials of cue 3 and cue 4 during context 2, in random order within each cycle. The MD selectively encodes temporal contexts within a few trials. Shaded areas denote the standard deviations. F There are different clusters in the t-SNE maps of the PFC and the MD neuronal activities. Both rule and context can be decoded from the PFC while only context can be decoded from the MD. Red and blue colors denote different rules while green and orange colors represent different contexts, respectively.
