@jhawkins leads a discussion on how cortical columns form and adapt models, focusing on how knowledge learned in one context can be reused when models are split into parts or combined compositionally.
Short Summaries
Main Video
00:00 Introduction
01:42 Object Model Splitting
10:40 Classes of Object
29:56 Splitting into Classes
37:18 Anchoring a Reference Frame vs Default Objects
55:24 Generic Models Derived from Detailed Models
01:01:30 Averaging Models in Monty
01:18:53 Using Something Other than a Chair as a Chair
01:22:54 Questions
01:35:18 What Provides Context?
01:43:21 A Really Confusing Idea - Coarse Locations