by Gideon Kowadlo and David Rawlinson Introduction This article contains some musings on the factors that limit the increase of intelligence as a species. We speculate that ultimately, our level of intelligence is limited by at least two factors, and possibly a third: our own cultural development, physical constraints, and… Read More »Constraints on intelligence
by Gideon Kowadlo and David Rawlinson In a previous post (section ‘Regions’), we discussed the distinction between cortical layers and levels. The literature often describes connections between cortical layers in one level to cortical layers in another level. We are not aware of a written convention for this purpose and propose one… Read More »A notation for intracortical neural connections
by David Rawlinson and Gideon Kowadlo Article Series This is the first of 3 articles about temporal pooler design for Numenta’s Cortical Learning Algorithm (CLA) and related methods (e.g. HTM/MPF). It has limited relevance to Deep Belief Networks. This first part will describe some of the considerations, objectives and constraints… Read More »TP 1/3: Temporal Pooler background
by David Rawlinson and Gideon Kowadlo Introduction The Memory Prediction Framework (MPF) is a general description of a class of algorithms. Numenta’s Cortical Learning Algorithm (CLA) is a specific instance of the framework. Numenta’s Hierarchical Temporal Memory (HTM) was an earlier instance of the framework. HTM and CLA adopt different… Read More »Architecture of the Memory Prediction Framework / Cortical Learning Algorithm / Hierarchical Temporal Memory