THE IMPACT OF SPARSITY IN LOW-RANK RECURRENT NEURAL NETWORKS.

The impact of sparsity in low-rank recurrent neural networks.

Neural population dynamics are often highly coordinated, allowing task-related computations to be understood as neural trajectories through low-dimensional subspaces.How the network connectivity and input structure give rise to such activity can be investigated with the aid of low-rank recurrent neural networks, a recently-developed class of comput

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Dry Ports-Seaports Sustainable Logistics Network Optimization: Considering the Environment Constraints and the Concession Cooperation Relationships

In China dry ports enter into a rapid development period now, however for many Chinese dry ports, the operation faces difficulties duo to inefficient logistics networks and cooperation relationship between dry ports and seaports.Focusing on the concession cooperation mechanism of seaports Decor and dry ports, and the environmental constraints (carb

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The complete mitochondrial genome sequence of the edible mushroom Stropharia rugosoannulata (Strophariaceae, Basidiomycota)

Stropharia rugosoannulata (Strophariaceae, battery wire Basidiomycota) is an edible mushroom distributed in northern temperate zones throughout the world.In this study, the complete mitochondrial genome sequence of S.rugosoannulata was determined.This mitochondrial genome is 60,551 bp in length with a GC content of 31.0% and encodes 14 conserved pr

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