[ExpertScie]

Dreams are to fulfill them in real life. Many times our dreams are secret and we don’t like to share them. But it is interesting fact that, they will not remain secret in future and can be scanned! Don’t worry, scientist had just begun first step into understanding in details what dreams are and this scanning of dreams is not successful in real time, but rather they can be scanned latter. This will not open every secret but positive side is that it will remind things that you want to achieve in real life through scientific ways, and to make them come true.

This research will not disclose anyone secret dreams but scientifically speaking, the scanning will help to understand and to further improve the mental state of patients. The Advanced Telecommunications Research Institute International in Kyoto, Japan is the place where a team of scientist is working to decode dreams by brain scans.
As we all know that dreams are one of the most fascinating aspects of the human experience, understanding them can open a new way for the well being of mankind and even every life that dreams.

In its first phase of study, neuroscientist Yukiyasu Kamitani and colleagues examined, three young men as they tried to get some sleep inside an fMRI scanner. During this, the attached machine monitored their brain activity and evaluated neurological concepts of dreams. The volunteer’s brains activity was monitored with EEG electrodes. What is interesting is that they saw an EEG signature which is indication of dreaming. After this, they woke him up and as a part of study, ask what did they dreamed. After which the logic of it was studied with the signals on EEG.

Scientifically speaking, this is what Neuroscientist call hypnagogic imagery, the state of dream that occurs as people fall asleep. The data base was generated in several days time and the reason was to have a significant data to arrive at any conclusion. The repeatability was ensured and results were collected in detail. During this testing, Kamitani and colleagues, focused more on type of imagery rather than the dream itself, which is scientific evidence of understanding it.

After collection of significant data, the researcher developed a visual imagery decoder which was purely based on machine learning algorithms. As a part of development of decoder, they trained it to distinguish patterns of brain activity of men while they were awake and watching a video montage. This was from hundreds of images which were selected from many online databases. After this training to decoder, the researcher successfully could input a pattern of activity of brain and have the decoder evaluate or predict which image was most likely have developed that pattern of activity of brain. In this way researcher, co-related it scientifically.

But if we see at earlier research in this field, this was not any new addition. What they did after this was beyond previous work. The team was feeding the decoder pattern of brain activity, while the subject was dreaming. This enabled them to correctly identify objects the men had seen in their dream! Or rather, they could identify the broader part of object the men had seen in their dreams. For example, the man had dreamt about a car, and researcher could have identified it as some vehicle or something related to driving or moving etc. Obviously not in a moving picture like he might have dreamt.

In this case, the drawback is that this should have been feed in decoder earlier to trace similarities in the two. Adding to this, researcher said that this is just a primitive study and we are positive on the further research for understanding dreams neurologically as far as possible.
Adding to it, Kamitani said, that today’s technology is still beyond the scope to decode color, emotions or actions in every details. At present, it works for imagery that had occurred just about 15 second before waking up. Another limitation of this research is that every time the same decoder cannot be used for different person. In such case, the decoder has to be trained again with person viewing hundreds of images.
It is remarkable achievements, to study the nature and functions of dreams in spite of such limitation. Kamitani is correlating between the frequency and memory performance with respect to dreams.
This is based on one of the theory which states that dreaming is for strengthening memory, while at the same time, another theory states dreaming is for forgetting. The understanding of co-relation between the two will conclude which theory is correct or none.

I hope science will make this entire dream come true!