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Spectrin impacts neuron architecture, polarity, axon stability, axonal transport, dendritic spine activity, and mechanotransduction.
This work presents an artificial neural network using a neuron architecture called generalized mean neuron (GMN) model.
(c) A 75 neuron architecture performs 100% for N-MORB and OIB while a mis-classification occurs for the E/P-MORB.
In this paper, we describe a simplified spiking neuron architecture optimized for embedded systems implementation, proving the learning capabilities of the design.
(b) A 50 neuron architecture shows a 100% satisfactory result for N-MORB whereas a mis-classification is noticeable for E/P-MORB and OIB.
MET influences neuron architecture and synapse maturation in the forebrain and regulates homeostasis in gastrointestinal and immune systems, both commonly disrupted in NDDs.
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These architectures possess unsupervised counterparts such as single neuron architectures implementing principle component analysis up to complex topographic mapping for nonlinear data mining and data visualization.
The results show that for all tasks, the switch neuron architectures generate optimal adaptive behaviors, providing evidence that the switch neuron model could be a valuable tool in simulations where behavioral plasticity is required.
However, although other CDG models also display evidence of overelaborated motor neuron architectures (Cline et al., 2012), the correlation with loss of HRP epitopes is less clear.
In this paper, we present a novel structure called cross-layer neurons architecture, which has the capability to train effective deeper neural networks.
Our classifier has a single layer, one-neuron architecture using a logsig activation function.
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