427 citations · 863 across the 5 of their papers we have counts for
5 papers
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
Anthony Zador, Sean Escola, Blake Richards +24
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in…
How do neurons operate on sparse distributed representations? A mathematical theory of sparsity, neurons and active dendrites
Subutai Ahmad, Jeff Hawkins
We propose a formal mathematical model for sparse representations and active dendrites in neocortex. Our model is inspired by recent experimental findings on active dendritic proce…
Continuous online sequence learning with an unsupervised neural network model
Yuwei Cui, Subutai Ahmad, Jeff Hawkins
The ability to recognize and predict temporal sequences of sensory inputs is vital for survival in natural environments. Based on many known properties of cortical neurons, hierarc…
Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex
Jeff Hawkins, Subutai Ahmad
Neocortical neurons have thousands of excitatory synapses. It is a mystery how neurons integrate the input from so many synapses and what kind of large-scale network behavior this…
Properties of Sparse Distributed Representations and their Application to Hierarchical Temporal Memory
Subutai Ahmad, Jeff Hawkins
Empirical evidence demonstrates that every region of the neocortex represents information using sparse activity patterns. This paper examines Sparse Distributed Representations (SD…