PUBLIC MARKS with tag cortex

The winners of the first Kavli Prize were announced a couple of weeks ago. One of the three recipients of the prize for neuroscience was Pasko Rakic, a professor of neurobiology and neurology at the Yale School of Medicine. Rakic has spent most of his career investigating the development of the cerebral cortex of man and other mammals, and it is for his outstanding contribution to this area of research that he has been awarded the Kavli Prize for Neuroscience.

Although many neuroscientists are trying to figure out how the brain works, Mark Changizi is bent on determining why it works that way. In the past, the assistant professor of cognitive science at Rensselaer Polytechnic Institute has demonstrated that the shapes of letters in 100 writing systems reflect common ones seen in nature...

Theoretical neurobiology (dynamics and optimisation)

Jeff Hawkins, Numenta: "Prospects and Problems of Cortical Theory". This is the 10th and final talk given at the Redwood Center for Theoretical Neuroscience

Despite false starts, cognitive computing research is finally bearing fruit, and billions of pounds of research is flowing in.

Welcome to OnIntelligence.org, the companion Web site for the book On Intelligence. If you liked the book, want to learn more about the book or want to discuss the book with others, this web resource is for you.

Numenta is developing a new type of computer memory system modeled after the human neocortex. The applications of this technology are broad and can be applied to solve problems in computer vision, artificial intelligence, robotics and machine learning. Th

The memory-prediction framework is a theory of brain function that was created by Jeff Hawkins and described in his book On Intelligence. This theory concerns the role of the hippocampus, neocortex, and the thalamus in matching sensory inputs to stored me

It is often said that "neuroscience is data-rich yet theory-poor." Our aim is to supply useful algorithms and theoretical ideas to neuroscience in order * to provide new forms of analysis for neural data (spike trains, EEG, MRI), * to provide theories and

智慧究竟是什麼？二十多年來人工智慧和神經網路等想要模擬人類智慧的嘗試失敗，正是因為他們沒有先了解什麼是智慧。霍金斯提出一個強有力的理論，解釋人類大腦是怎樣運作以及為什麼他

　　個人認為本書的重點有二： 　　一是假設大腦的運作原理充分地運用了達爾文過程； 　　另一個很有創見的地方是本書第七章的〈皮質迷宮〉：作者提出一個可能的方式，來描述大腦皮質層如何產生達爾文過程，並解釋了意識及潛意識的形成。