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The data from these devices are processed by a velocity network with noise reduction and feature extraction and by a word recognition network.
These results confirm that the novel delivery formats engaged the typical visual word recognition network.
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Overall, we found that a bilateral network of frontal and temporal regions is involved in spoken word recognition, and that activity within this network is modulated by different cognitive components of the word recognition process.
It is well established that the left inferior frontal gyrus plays a key role in the cerebral cortical network that supports reading and visual word recognition.
The test results show that our feature vector extraction method and neural networks can be used successfully for isolated word recognition.
To fully understand how visual word recognition is achieved, we need to identify the necessary and sufficient compliment of nodes that comprise this network – its functional anatomy.
With regard to the emotional category, De Ruiter (2005), who used a similar word recognition task and the same contrasts, also found that it looked like emotional stimuli recruited less cortical networks than emotional stimuli.
Like most complex behaviours, visual word recognition is thought to result from the dynamic interplay between the elements of a distributed cortical and sub-cortical network.
Visual word recognition latencies are longer for LF words.
Basic Processes in Reading: Visual Word Recognition.
Initial phoneme is used in spoken word recognition models.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com