Topic: reservoir recurrent neural network

Interactions across the frontal cortex are critical for cognition. Animal studies suggest a role for mediodorsal thalamus (MD) in these interactions, but the computations performed and direct relevance to human reasoning are unclear. Here, inspired by animal work, we build a neural model to derive computational insights and find consistent evidence in fMRI data of humans performing the same probabilistic reversal learning task. We used a reservoir recurrent neural network as a model of the dorso-lateral prefrontal cortex (dlPFC) and found that adding an MD layer with multiplicative inputs to d