Tag Archives: brain structure
12 Mar Building a Concept Hierarchy
Existential knowledge, our knowledge of things that exist, is hierarchical. In other words, we categorize things into classes. Objects in these classes form the content of our thoughts. We have heard about the phylogenetic tree, the “tree of life” or the system of biological classification. This is a beautiful example of a regular taxonomy (irregular might have […]
10 Mar The Context of Knowledge
What Is Knowledge? Just like the beautifully structured organization of all things in the physical universe, there is a hierarchy or taxonomy of knowledge. The levels and organization of the hierarchy, as I see them, are shown in the illustration below. Being fascinated by the concept of context, I have decided that, in this model, “context” includes […]
04 Mar Gnosticism, Mysticism and Hard Knowledge
Neural Network science describes oft rejected explicit knowledge in neurons as “gnostic cells” or “gramma cells” suggesting one neuron knows about gramma. Not all scientists agree with associationist theories that explain learning in the context of things that pre-exist in memory. In fact, an entire school of thought flatly rejects explicit representations that form the core […]
01 Mar Hold Onto the Memories
When you see Grandmother, is there a cell or cluster of cells in your brain that light up and say: “I recognize that face – It’s Grandmother!” The Grandmother cell theory suggests that there is such a cell or group of cells where that knowledge is explicitly stored. Earlier posts included a discussion of feature selectivity […]
28 Feb Sense-Perception and Memory
I Recall… Since we have been discussing learning in the past few posts, it seems appropriate to talk about memory here as well. Of course, we are talking about human memory, but computers can remember quite well, too. In fact memory is one of the few areas where it is universally agreed that computers are […]
27 Feb Chomsky, Locke and Aristotle on Learning Language
Inherited Abilities In systems design, there is a growing trend to “hard code” less into the system and leave more to be configured by the person or organization that is using the software. The growth of Rules and Workflow Engines that can be managed by non-technical users is prime evidence of this trend. And yet, the complex instruction […]
26 Feb Physiology of Learning to Generalize
I began this blog heavily concentrating on the physiology of the brain, its cells and the way they interconnect. Learning and association are not dealt with much in those posts other than to describe ways in which the brain and its cells provide mechanisms for these activities. Many of the mechanisms of association are fairly clearly understood […]
25 Feb Discrimination, Association and Recognition
Discrimination Although discrimination has negative connotations, we do it every millisecond. We must discriminate between distractions and important information we see and hear. The environment is filled with ambient noise, sometimes so much so as to prevent understanding. Once we have filtered out the noise through discrimination, we must further discriminate between incorrect and correct interpretations of the […]
24 Feb Neural Network Perception
Feedback in Image Processing While the flow of electrical impulses in the brain triggered by visual stimuli travels sequentially through layers I then II then III of the visual cortex, this directional flow does not prevent impulses from other sources, including feedback loops within the visual cortex from contributing to our ability to process images. […]
22 Feb Understanding What we See
Many Japanese kanji characters (originally imported from China) are little pictures of things in the real world. For example 木 (ki) is a tree. You can see the trunk and the branches. By adding a line at the bottom 本 (hon), you get roots or origin. Put three together 森 (mori) and you have a forest. The symbol […]