Computer matches primate brain in object recognition
MIT Scientists Have Found That Some Computer Programmes Can Identify Objects In Images Just As Well As The Primate Brain.
MIT scientists have found that some computer programmes can identify objects in images just as well as the primate brain.For decades, neuroscientists have been trying to design computer networks that can mimic visual skills such as recognising objects, which the human brain does very accurately and quickly.Until now, no computer model has been able to match the primate brain at visual object recognition during a brief glance.However, a new study from Massachusetts Institute of Technology neuroscientists has found that one of the latest generation of these so-called “deep neural networks” matches the primate brain.The study found that a neural network developed by researchers at New York University classified objects as well as the primate brain.Because these networks are based on neuroscientists’ current understanding of how the brain performs object recognition, the success of the latest networks suggest that neuroscientists have a fairly accurate grasp of how object recognition works, said James DiCarlo, a professor of neuroscience and head of MIT’s Department of Brain and Cognitive Sciences.“The fact that the models predict the neural responses and the distances of objects in neural population space shows that these models encapsulate our current best understanding as to what is going on in this previously mysterious portion of the brain,” said DiCarlo, senior author of the study in the journal PLoS Computational Biology.This improved understanding of how the primate brain works could lead to better artificial intelligence and, someday, new ways to repair visual dysfunction, added Charles Cadieu, a postdoc at the McGovern Institute and the paper’s lead author.For vision-based neural networks, scientists have been inspired by the hierarchical representation of visual information in the brain.As visual input flows from the retina into primary visual cortex and then inferotemporal (IT) cortex, it is processed at each level and becomes more specific until objects can be identified.To mimic this, neural network designers create several layers of computation in their models. Each level performs a mathematical operation, such as a linear dot product.At each level, the representations of the visual object become more and more complex, and unneeded information, such as an object’s location or movement, is cast aside.
For all the Latest Tech News News, Technology News, Download News Nation Android and iOS Mobile Apps.
More from Tech News
Samsung Galaxy A51 5G Launched In US: All You Need To Know About Newly-Launched Smartphone
Honor Play 4T Pro With Triple-Rear Camera Setup Launched In China: Specifications, Price Inside
Facebook Sues Indian Techie For Running Deceptive Ads, Fake News On Coronavirus
Samsung Galaxy A71 5G With Quad-Rear Camera Setup Launched In US: Specifications, Price Inside
Samsung Galaxy A21 With Quad-Rear Camera Setup Goes Official In US Amid Coronavirus Scare: Specs, Features, Price Inside