11 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.NE2016★ 4 cited
Feynman Machine: The Universal Dynamical Systems Computer
Eric Laukien, Richard Crowder, Fergal Byrne
Efforts at understanding the computational processes in the brain have met with limited success, despite their importance and potential uses in building intelligent machines. We pr…
cs.NE2015★ 3 cited
Symphony from Synapses: Neocortex as a Universal Dynamical Systems Modeller using Hierarchical Temporal Memory
Fergal Byrne
Reverse engineering the brain is proving difficult, perhaps impossible. While many believe that this is just a matter of time and effort, a different approach might help. Here, we…
cs.NE2015★ 11 cited
Encoding Reality: Prediction-Assisted Cortical Learning Algorithm in Hierarchical Temporal Memory
Fergal Byrne
In the decade since Jeff Hawkins proposed Hierarchical Temporal Memory (HTM) as a model of neocortical computation, the theory and the algorithms have evolved dramatically. This pa…