Synthetic event-Related potentials: A computational bridge between neurolinguistics models and experiments An article was chosen from a peer-reviewed journal known as Neural Networks on the basis that it not only has various implications for the future of neurolinguistics research, but I also found it interesting and related to my intended future career profession. There have been different methods of mapping actual brain activity that occur in normal human cognition and such efforts have also led to various models of cognition and schema networks that continually become more refined as the scientific research progresses. This research began a few generations ago, and at the time the technology was fairly primitive, at least by comparison to the tools and technics that are available to today's researchers. Today, researchers are able to construct 3D representations of the brains activity that show the activity in real-time. This allows for possibilities that were never before imagined as science begins to unlock the secrets of the mind.

The researchers in the study have apparently produced methods that allow them to develop Synthetic Brain Imaging to link neural and schema network models of cognition and behavior to PET and fMRI studies of brain function in previous research efforts. As a follow up to the methodology that have already created, in this research study the researchers have extended this approach to Synthetic Event-Related Potentials (Synthetic ERP), and although the method is of general applicability, they focused on ERP correlates of language processing in the human brain (Barres, Simons, & Arbib, 2013). The different pathways that are available to individuals in their brains must somehow be related to how the process of cognition works, as well as the process of language that allows for it, and thus examining the neural networks and neural activities can help science better understand how these...

This article was published fairly recently and provides a good overview of different ways in which researchers have tried to reconcile different data regarding neural network maps and actual data collected from various brain scanning devices. This technology has already gone through several generations of development and has made substantial progress. New technologies such as fMRI and PET scans have offered even more dynamic data sets to researchers regarding activity in the brain. Much of the article is pretty technical and can be hard to fully understand by anyone who is not a specialist in the field. However, simply bearing witness to the types of methodologies that are being constructed to help researchers map these processes is enlightening and can offer insights as to where the future of the field of neurolinguistics is heading.
Article Review

Much of the research progress that has been made in this field has benefited from the advent of tomographic brain imaging, which allows researchers to witness activity in the brain that occurs during normal cognitive processes. Researchers have been able to identify which parts of the brain are typically involved in processing different types of brain activities by scanning the brains of participants as they perform various actions. For example, many of the higher cognitive tasks are going to be located in the prefrontal cortex while vision process is located in other parts of the brain. However, as the science progresses, researchers are attempting to build a more detailed and accurate assessment that is even more specific.

Following these initial breakthroughs, the lab expanded this simulation method to develop Synthetic Brain Imaging.…