Tag Archives: learning
30 Dec Aristotle and von Neumann
In the 1950’s, John von Neumann compared the computer to the brain. Scientific inquiry that laid the foundation for that comparison, however, had begun long before. The influence of the Greek philosopher Aristotle’s association theory (metaphysics), for example, is evident in neural net theory. In The Computer and the Brain, Dr. von Neumann describes how […]
31 Oct Modeling Biological Systems
Possible Mechanisms of Learning, Memory and Cognition In the first section of this blog, I talked about the brain, as a whole, to establish a framework for the discussion of natural intelligence. In this section, I have delved into the inner workings of neurons, themselves to ensure we understand how complex they are, and where we […]
25 Aug Learning from Brain Disorders
Serotonin Imbalance I am possessed of an orderly disorder. My “Obsessive-Compulsive Disorder” (OCD) compels me to make sure everything is lined up nicely. Do good managers benefit from a little OCD? Today’s post is about what we can learn about the brain from observing what happens when something isn’t exactly right. Collette Bouchez, on WebMD, tells us […]
10 Jul Mainspring of Language Learning
The brain wants something to happen so it can learn. Almost anything that is not nothing will stimulate neuron growth. There’s a good Radio Lab show that explores research on this topic at “How Does Your Brain Grow.” The program includes reference to “studies in which thinking alone—brain puzzles and learning new languages—can actually stave off the onset of […]
24 Feb Intro to the End of Code
By: Joe Roushar – February 2013 In the Beginning When computer programming began, it consisted mostly of written computer instructions called code. Data was minimal. Decks of dozens to hundreds of punched cards told the computer what to do with the data, which was also encoded on punched cards. The process of writing and debugging code was tremendously tedious. As computing […]
07 Feb Your Place in the Noosphere
René Descartes suggested that if you think, you exist: cogito ergo sum. To think, to know, to intuit, to be or not to be… these are questions that lead us to consider the noosphere. Taxonomies attempt to categorize things in the universe by placing them in buckets in which all the things in the same […]
27 Dec Microtubules
Microtubules Neurons have hundreds of MT distributed in the soma and in the axon and dendrites. Microtubules, like IF, are filamentous organelles that form the cytoskeleton of neurons. Their cylindrical, composite polymers comprise part of the cytoskeletal infrastructure of cells. Their cylinders are long, and they possess a distinct polarity. Their surfaces are composed of spherical tubulin in columns […]
27 Dec Cytoskeleton Components in Cognition
A Neuron’s Skeleton Unlike the external structure of many spheroid and amorphous cells, the external structure of neurons is complex and rigidly determined. As you may remember from earlier posts, the many different types of neurons residing in particular cortical strata (in layers of the gray and white matter) each have distinctive characteristics that enable […]
01 Dec Robot Neurons: Analog versus Digital
Digital is basically black and white: 1 is yes and 0 is no or vice-versa. Yet our world is full of other colors. We can efficiently use digital devices to stretch arbitrary numbers of 1’s and 0’s together to represent a virtually infinite degree of possible values. Yet there are places where exactly two values may […]
10 Nov Seeking a Universal Theory of Knowledge
As a fundamental premise for this post, this blog as a whole, and my life’s work, I propose that language and “real world knowledge” are inextricably connected, and neither functions well without the other. This is why, in my opinion, natural language processing (NLP) initiatives focusing exclusively, or even primarily on language structure have significant […]