Walau sering kali kita nyerahin tugas2 buat diselesaiin komputer, tapi kadang komputer nggak bisa kasih solusi yang buat kebanyakan orang mudah, di sini contohnya permasalahan2 visual, mudah bagi kita, sulit bagi komputer. Riset ini kalo sukses bisa dipake utk memahami artificial vision systems atau mungkin prosthesa sistem sensor pada manusia sendiri.

http://web.mit.edu/newsoffice/2007/vision-0404.html

"We created a model that takes into account a host of quantitative anatomical and physiological data about the visual cortex and tries to simulate what happens in the first 100 milliseconds or so after we see an object," explained senior author Tomaso Poggio, the Eugene McDermott Professor of Brain and Cognitive Sciences and a member of MIT's McGovern Institute for Brain Research.

"This is the first time a model has been able to reproduce human behavior on that kind of task," said Poggio. His co-authors are Aude Oliva, a cognitive neuroscientist in the MIT Department of Brain and Cognitive Sciences, and Thomas Serre, a postdoctoral associate at the McGovern Institute.

The work supports a long-held hypothesis that rapid categorization happens without any feedback from cognitive or other areas of the brain. In other words, rapid or immediate object recognition occurs in one feed-forward sweep through the ventral stream of the visual cortex.

The results further indicate that the model can help neuroscientists make predictions and drive new experiments to explore brain mechanisms involved in human visual perception, cognition and behavior.

For cognitive neuroscientists, these results add to the convergence of evidence about the feed-forward hypothesis for rapid categorization.