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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsMost dynamical models introduced in the past were linear, which means that they assumed that changes in neural activity would follow a simple structure. While linear models tend to be easier to ...
Insights into wave propagation in prestressed porous rocks have great interest in geophysical applications, such as remote monitoring in situ stresses. Wave-induced small dynamic fields superposed ...
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