… The robustness of existing optimizers across a wide range of datasets and network
architectures has played a key role in the widespread adoption of deep learning methods. For …

… nets (PNNs) are assemblies of extracellular matrix molecules, which surround the cell body
and dendrites of many types of neuron and regulate neural plasticity. … observed a wide range …

… We show a consistent increased network utilization using … We then study network resilience
to neuron dropping at test … that Excitation Dropout has a wider range of saliency values …

… Using a recurrent network model, we explore whether this could be due to an underlying
diversity in their synaptic plasticity. We find that, in a network with diverse learning rates, …

… of perineuronal nets (PNNs). In this review, we address the role of PNNs in restricting
critical period plasticity. Next, we discuss the modulation of PNNs during adult brain plasticity, …

… on the brain are better represented by network dynamics. Here, we reviewed the … network
integrity. This review will provide a comprehensive understanding of trends in exercise-network …

… yt = ±1 is a network-wide broadcast signal (self-awareness) indicating a saccade (−1) or a
fixation (+1) and Ht 2 {0, 7} is a layer-wide broadcast signal indicating whether the saccade or …

… In previous work 50,51 , only network-wide averages of these synaptic patterns were … the
full network-wide motif cumulants providing a neuron-by-neuron view of synaptic structure. …

… using half of the features per layer (see Appendix for network layers). We note that the C3D
network is deeper and wider than the DECOLLE network. We found that 16 × 32 × 32 frames, …

… In order to explore a wide range of possible plasticity rules, we defined parameterized
functional forms for these rules (ie, search spaces) enabling us to flexibly generate various rules, …