Sentence examples for forward processing from inspiring English sources

Models of visual object recognition attempt to explain the rapid and concurrent processes that lead to successful object identification, with an initial feed forward processing stream followed by a series of feedback loops.

If so, reaction time patterns should reverse depending on whether the object is visually presented or reconstructed from memory: during perception, RTs should be faster for perceptual compared with semantic questions reflecting a forward processing hierarchy; during retrieval, RTs should be faster for semantic compared with perceptual questions if there is a reversal of that hierarchy.

Second, core network routers must process a considerable number of forwarding entries when many active multicast groups are used, resulting in increased memory requirements and slower forward processing.

The design closely followed the behavioural experiments, with the important difference that each participant now carried out a visual encoding phase that served to probe visual (forward) processing, and a subsequent recall phase used to probe mnemonic (backward) processing.

The integrative fashion of the forward processing path is indicated by increasingly larger receptive field size (neurons that provide input), with a ratio of approximately 1∶5 for V1Model∶MTModel [17].

The most over-represented such chains are the forward processing chain from a sensor- into a motorneuron via two interneurons (which appears in Fig. 6D) or from three interneurons into the motor neuron, followed by variations on the theme with gap junctions replacing the chemical synapses.

Unbelievably, we understand they intend to move forward with processing one of the pending applications before them for a horse slaughter operation here in the U.S. New Mexico should brace itself for the firestorm of public outrage and a tsunami of horse cruelty should Roswell, N.M., become ground zero for horse suffering.

Unsupervised learning (sometimes referred to as 'Hebbian' learning) models describe the process as being driven by bottom-up, feed-forward processing, independent of external feedback or reinforcement [26].

This finding is consistent with a predominantly feed-forward processing as described previously3,4,5,6,8.

To test this hypothesis we performed object identification experiments with DNNs and human observers on exactly the same images under conditions favoring single-fixation, purely feed-forward processing.

Although interactivity is considered a fundamental principle of cognitive (and computational) models of reading, it has received far less attention in neural models of reading that instead focus on serial stages of feed-forward processing from visual input to orthographic processing to accessing the corresponding phonological and semantic information.