A brain modulyzer has lent scientists a participatory peek into the workings of the billion dollar computer that is the human brain.
The brain deals with data in the form of a hierarchy. While you are reading this news story, the signals are entering through your eyes into the thalamus and the thalamus then organizes the signals. Then the signals enter the primary visual cortex.
Don't Miss: Amazon 12 Days of Deals
This lies at the back of the brain. Here neurons fire off at the onset of some basic properties. One neuron may respond due to the black textual matter on this page.
Another may actually fire off due to the verticality of the lines of text. A secondary group of neurons are finally activated that respond to different shapes.
For the very first time, a novel tool has been developed that will allow the experts to interactively find out the process that occurs in the human brain while it is in hibernating mode or active.
The researchers also have their hopes set on the fact that via this tool, they might gain a better understanding of how neurological diseases such as Alzheimer’s affect the human brain.
It is called the Brain Modulyzer and it happens to be a software that integrates various views of a normal MRI reading. These include heat maps, node link diagrams and anatomical sights and they help in providing the milieu for brain connectivity information to be gathered with alacrity.
This tool lends a new framework of visualization and fresh techniques that help find out more about the brain. Observations from various angles are made possible thanks to this tool. Other tools do not connect well with brain anatomy. Yet this one is just perfect for accomplishing this task.
The tool will help in the construction of a model of various brain diseases. Hopefully, thanks to this instrument of intelligence, Alzheimer’s and dementia may one day become things of the past.
The human brain is basically a network of neurons. The neurons have axons at their tips which aid in connectivity. Trends and patterns of diseases can be predicted by employing this tool that is called a Brain Modulyzer.
The only issue with past instruments was that the analysis process was static in nature. To explore different regions of the brain would require restarting the exploration process which was more of an inconvenience. Yet this tool bypasses any such hindrances and hassles. Therein lies its strength and its plus point.
A paper describing Brain Modulyzer was recently published online in the IEEE/ACM Transactions on Computational Biology and Bioinformatics. Brain Modulyzer is now available on github.