Q&A with Viviane Clay, Director of the Thousand Brains Project
In this Q&A, we talked to the Viviane Clay, director of the Thousand Brains Project, Numenta’s new open-source research initiative.
In this Q&A, we talked to the Viviane Clay, director of the Thousand Brains Project, Numenta’s new open-source research initiative.
In this Q&A, we talked to the Viviane Clay, director of the Thousand Brains Project, Numenta’s new open-source research initiative.
Numenta’s HTM theory explains the role of neurons and minicolumns in cortical layers. In this blog, Scott Purdy writes about an experiment conducted by researchers from Michael Berry’s lab at Princeton on how mice respond to familiar vs. novel stimuli and how its findings are consistent with HTM theory.
This blog by Matt Taylor compares today’s weak AI to strong AI, or AGI. While Deep Learning and other ANN-based methods are useful, he believes that the path to strong AI is a biological one. At Numenta, we aim to understand how intelligence works in the cortex and create new intelligent systems using those principles.
HTM community member, Ali Kaan Sungur, shares his thesis on an HTM based autonomous agent in video game environments. In his HTM based thesis, he shows a real-time agent architecture involving a hierarchy of HTM layers that models patterns based on rewarding behavior.
HTM School recently debuted a series “Interview with a Neuroscientist”, where Numenta’s Matt Taylor sits down with neuroscientists to discuss pun-laden categories related to their study. The new series features the likes of David Eagleman from the PBS show, The Brain, and Michael Berry from The Berry Lab at Princeton.
We understand the struggle of replicating scientific results. That’s why we created a new repository, where we’ve organized our code by the names of our papers. In this blog, Luiz Scheinkman walks through our new repository, which he describes as a standardized guide for those who want to use our technology.
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.