The increasing complexity of deep learning systems has pushed conventional computing technologies to their limits. While the memristor is one prevailing for acceleration, it only suited classical layers where two operands, namely weights and inputs, are processed simultaneously. Meanwhile, improve computational efficiency emerging applications, a variety non-traditional requiring concurrent pro...

Our goal is to examine the relationship between neuron- and network-level processing in the context of a well-studied cortical function, the processing of thalamic input by whisker-barrel circuits in rodent neocortex. Here we focus on neuron-level processing and investigate the responses of excitatory and inhibitory barrel neurons to simulated thalamic inputs applied using the dynamic clamp met...

this study was an attempt to explore the role that the increased perceptual saliency of l2 input features or output flaws and hereby promoting l2 learners’ noticing (through planned instructional activities) can play in the learners’ use of correct english intonation patterns. the participants were 80 iranian efl students attending four intact classes, two low-intermediate and two upper-interme...