We begin by defining the configuration elements of the proposed system, which are common to both types of input video.
In an investigation conducted by Asadi et al. (2014) three groups of intermediate EFL learners were exposed to the following inputs: 1-enhanced forms of input in one group, 2-input with frequent instances of a grammatical structure in specific in another group, and3- to the third group both types of input.
Some of the activated entorhinal nodes represent information from just one input layer, but most receive both types of input, and thus cross-associate the item and context patterns (Figure 2a).
Steps 2 to 4 are common for both types of input.
Synaptic contacts from L2/3 PCs are, on average, more distal than synaptic contacts from L4 spiny neurons (90 vs. 70 µm; Feldmeyer et al. 2002, 2006); both types of synaptic input avoid the distal parts of L2/3 dendrites.
Thus, while NN can be used for both types of studies, the inputs and outputs of the NN will be dependent upon the type of study that is conducted.
But in this study, we deploy both types of innovation indicators (input and output) to investigate the linkage between innovation and economic growth.
In the early fusion, both types of images (the input one and the baseline ones) share the same set of weights, and in the late fusion, each image has its own weight.
Both types of models use six inputs describing coal properties and gasification process parameters namely fixed carbon, volatile matter, mineral matter, air feed per kg of coal, steam feed per kg of coal and temperature.
Although both types of interneuron receive local excitatory inputs, only PV interneurons receive thalamocortical and feedforward corticocortical inputs and PV neurons provide largely unidirectional inhibition of SOM neurons.
