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A single neuron gain function can predict the population activity of homogeneous neurons under strong limitations, such as the stationary state and balanced conditions of the total input. In this work, we propose a modification to the self-consistency model when balanced conditions are not fully satisfied. We present a scaling factor to modify the excitatory weights in a Brunel network. It allows...
Model-based decision making requires prediction of future states by action-dependent state transition models. To investigate their neural implementation, mice were trained to do an auditory virtual navigation task and neuronal activity was recorded in the posterior parietal cortex (PPC) and the posteromedial cortex (PM), with the genetically encoded calcium indicator GCaMP6f after gene transfer by...
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