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The design principles of these multi-input systems remain mysterious: One of the interesting puzzles in the study of QS is to understand what benefit or information an organism can gain from combining multiple autoinducer inputs, and how information from different inputs is processed to generate a useful output [ 5, 6].
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Effects of multisensory interactions on how subsequent sensory inputs are processed remain poorly understood.
A feed forward neural network has no feedback paths and inputs are processed in the forward direction.
The parameter P i is the probability that the output is 1 when the binary inputs are processed through a set of AND-OR logical circuits i times.
Also the hidden layer has 6 nodes, in each node; weighted inputs are processed by a transfer function as shown in Fig. 4 (Hornik et al. 1994).
This model represents the genetically mandated logic functions that the system executes, but also shows how time-varying kinetic inputs are processed in different circumstances into particular kinetic outputs.
First, visceral and external sensory inputs are processed and integrated with reward and memory systems leading to an "incentive value" of the goal.
Traditionally, it was assumed that multiple sensory inputs are processed independently in sensory cortices.
The study of haptics aims to understand how tactile and other somatosensory inputs are processed.
The c-Fos expression studies indicating BDNF-mediated activation of cells in the superficial dorsal horn where nociceptive inputs are processed support this finding.
Little is known about the neuronal pathways involved in relaying SP-sensory information to central circuits and how these inputs are processed to direct female-specific changes that occur in response to mating.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com