Nanowire Networks (NWNs) belong to an emerging class of neuromorphic systems that exploit the unique physical properties of nanostructured materials. In addition to their neural network-like physical structure, NWNs also exhibit resistive memory switching in response to electrical inputs due to synapse...
A recent study found that women had a stronger association between vascular risk factors and worse cognition than men in a middle-aged Hispanic/Latino population22. However, it is currently unknown if the effects of smoking on verbal learning and memory function are different between men and ...
First, most deep learning models have a large model complexity. Deep learning is based on artificial neural networks (ANN), and one of the characteristics of ANN is that its model size is controllable: even with a fixed input dimension, the number of model parameters can be regulated by adju...
As it is demonstrated in the following, more efficient retrieval-oriented representations can be learned using model retraining with respect to different kinds of information both in terms of retrieval performance and memory requirements. Subsequently, we present a representation learning method suitable ...
An important conceptual advance in the past decade has been the understanding that the process of drug addiction shares striking commonalities with neural plasticity associated with natural reward learning and memory. Basic mechanisms in... Kelley,E Ann 被引量: 1257发表: 2004年 Role of dynorphin an...
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho, Marta Garnelo --ICLR 2019 How To Train Your MAML [paper] Antreas Antoniou, Harrison Edwards, Amos Storkey -- ICLR 2019 TADAM: Task dependent adaptive metric for improved few-shot learning [paper] ...
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首先,先不考虑最顶构成一个联想记忆(associative memory)的两层。一个DBN的连接是通过自顶向下的生成权值来指导确定的,RBMs就像一个建筑块一样,相比传统和深度分层的sigmoid信念网络,它能易于连接权值的学习。 最開始的时候。通过一个非监督贪婪逐层方法去预训练获得生成模型的权值,非监督贪婪逐层方法被Hinton证明是...
human equivalent dose calculation, respectively31,32. Our finding suggests a theoretical basis for the use of pioglitazone in treating AD, by demonstrating the efficacy of low-dose pioglitazone in the improvement of memory impairment and Aβ pathology-related LRP1 expression in a mouse model of AD...
Calstabin2, also named FK506 binding protein 12.6 (FKBP12.6), is a subunit of ryanodine receptor subtype 2 (RyR2) macromolecular complex, which is an intracellular calcium channel and abundant in the brain. Previous studies identified a role of leaky neu