Sentence examples for digital neuron from inspiring English sources

Open image in new window Fig. 1 Vaa3D is a cross-platform framework that provides a plugin architecture to expose community-provided features for neuronal reconstruction, morphometric analysis, and digital neuron synthesis.

Reconstruction of digital 3D neuronal structures from brain slice images; Morphometric analysis of the digital neurons to extract quantitative features that characterize them; and.

There are essentially three stages in our workflow (Fig. 1): Reconstruction of digital 3D neuronal structures from brain slice images; Morphometric analysis of the digital neurons to extract quantitative features that characterize them; and Generation of arbitrary numbers of cells using these statistical features.

The new chip uses a million digital neurons and 256 million equivalents of synapses to do things like recognize pieces of sensory data like speech and images.

This will bring automated processing of reconstructed cells into digital neurons to the wider neuroscience community, and enable a range of morphologically accurate computational models.

Individual plugins allow users to solve many current neuron reconstruction use cases separately, or take advantage of the unified workflow that uses automated reconstruction and analysis algorithms to generate multiple digital neurons for network modeling and simulation.

The final stage of the proposed unified workflow is to grow, or synthesize, digital neurons that are statistically indistinguishable from the original biological reconstructions from which the features were extracted.

While complex, the technical paradigms of the dreaming brain: digital on off neuron connections, memory storage, visual operative processing, interactive messaging systems, and emotional triggering/buffering systems can be artificially constructed.

Figure 8 Digital architecture of neuron implementation using the Xilinx system generator.

The digital architecture of neuron implementation using the Xilinx system generator (Xilinx block sets) is shown in Figure 8a.

Another is that obtaining accurate 3D digital representations of neurons has traditionally been a slow, expensive, manual process.