Numenta has two missions: reverse-engineer the neocortex to understand how we learn and behave and enable technology based on brain theory. Our progress to date can be summarized by two important discoveries. Here’s a summary of Numenta’s brain theory, as explained by Christy Maver.
Navigating Numenta’s Brain Theory through a Progression of Papers Read More »
AI techniques, such as deep learning and convolutional neural networks, have made stunning advancements in image recognition, self-driving cars, and other difficult tasks. Yet, leading AI researchers realize something is not right. In this piece, Jeff Hawkins writes about the “missing ingredient” for strong AI.
The Secret to Strong AI Read More »
Christy Maver debunks the belief that the brain is filling in the gap in our vision to compensate for our blind spot using our theory on sensorimotor inference proposed in our paper, A Theory of How Columns in the Neocortex Enable Learning the Structure of the World.
The method of loci is an ancient memorization technique that assigns each item to a familiar location. In this blog, Christy Maver explains its connection to our theory on sensorimotor inference proposed in our paper, A Theory of How Columns in the Neocortex Enable Learning the Structure of the World.
The Method of Loci Read More »
Numenta VP of Marketing Christy Maver wrote a guest post for insideBIGDATA titled, “The Importance of Brain Theory in True Machine Intelligence.” In the piece, she shares her thoughts on machine intelligence technology based on brain theory, why it’s important, how and why it works, and where it will take us.
Brain Theory in AI – Inspiration or Direction? Read More »
In this blog, our co-founder Jeff Hawkins revisits an essay he wrote while he was a graduate student at UC Berkeley. The paper is titled “An Investigation of Adaptive Behavior Towards a Theory of Neocortical Function”, and it gives a nice historical perspective on Numenta.
Revisiting a 1986 Essay on Brain Theory Read More »
Eric Jonas and Konrad Kording just released a provocative paper, “Could a neuroscientist understand a microprocessor?”. In their paper, they ask whether current neuroscience techniques could discover the operations of a simple microprocessor.
Can Neuroscientists Understand the Brain? Read More »
Earlier this month, I attended the annual Computational and Systems Neuroscience meeting (Cosyne) in Salt Lake City. Cosyne is a peer reviewed scientific conference that brings experimental and theoretical neuroscientists together to exchange data and ideas.
Numenta at the Computational and Systems Neuroscience Conference (COSYNE) Read More »