A Sensorimotor Circuit in Mouse Cortex for Visual Flow Predictions.

By M. Leinweber, D. R. Ward, Jan M Sobczak, Alexander Attinger, Georg B. Keller. 2017

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Recurrent World Models Facilitate Policy Evolution (2018, background): “One way of understanding the predictive model inside our brains is that it might not simply be about predicting the future in general, but predicting future sensory data given our current motor actions [38, 48].”
Model Primitive Hierarchical Lifelong Reinforcement Learning (2019, background): “A key ingredient of our proposal is the idea of world models [10, 12, 14] — transition models that can predict future sensory data given the agent’s current actions.”
Dendritic cortical microcircuits approximate the backpropagation algorithm (2018, result): “Although the one-to-one connectivity imposes a restriction in the model architecture, this is to a certain degree in accordance with recent monosynaptic input mapping experiments show that SST cells in fact receive top-down projections (Leinweber et al., 2017), that according to our proposal may enc”
Towards deep learning with segregated dendrites (2016, background): “In light of this, it is interesting to note that distal apical inputs in sensory cortical areas can predict upcoming stimuli (Leinweber et al., 2017; Fiser et al., 2016), and help animals perform sensory discrimination tasks (Takahashi et al.”