no code implementations • 15 Oct 2022 • Anthony Zador, Sean Escola, Blake Richards, Bence Ölveczky, Yoshua Bengio, Kwabena Boahen, Matthew Botvinick, Dmitri Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad Koerding, Alexei Koulakov, Yann Lecun, Timothy Lillicrap, Adam Marblestone, Bruno Olshausen, Alexandre Pouget, Cristina Savin, Terrence Sejnowski, Eero Simoncelli, Sara Solla, David Sussillo, Andreas S. Tolias, Doris Tsao
Neuroscience has long been an essential driver of progress in artificial intelligence (AI).
no code implementations • 5 Jan 2016 • Subutai Ahmad, Jeff Hawkins
Our model is inspired by recent experimental findings on active dendritic processing and NMDA spikes in pyramidal neurons.
1 code implementation • 17 Dec 2015 • Yuwei Cui, Subutai Ahmad, Jeff Hawkins
In this paper, we analyze properties of HTM sequence memory and apply it to sequence learning and prediction problems with streaming data.
1 code implementation • 31 Oct 2015 • Jeff Hawkins, Subutai Ahmad
Given the similarity of excitatory neurons throughout the neocortex and the importance of sequence memory in inference and behavior, we propose that this form of sequence memory is a universal property of neocortical tissue.
no code implementations • 25 Mar 2015 • Subutai Ahmad, Jeff Hawkins
Empirical evidence demonstrates that every region of the neocortex represents information using sparse activity patterns.