Heterogeneous self-couplings enable scale-invariant memory and cognitive flexibility without criticality
The hierarchical organization of the brain underlies its ability to process information across multiple time scales and support flexible behavior through context-dependent computation. Here, we study a recurrent neural network model with heterogeneous self-interactions across nodes, capturing key features of neuronal circuits, including intrinsic diversity of dynamical time scales and multistable…
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