Tag Archives: learning
13 Feb Yorrick: Seeds of Knowledge
A Wise Geek once said: “Knowledge acquisition typically refers to the process of acquiring, processing, understanding, and recalling information through one of a number of methods. This is often a field of study closely tied to cognition, memory, and the way in which human beings are able to understand the world around them.” Our exploration begins […]
06 Feb Nature vs Nurture in Intelligence
The three deep roots of intelligence are biological (built into the flesh), cognitive (based on our unique mental responses to stimuli), and psychosocial (learned through culture-laden experiences). Language springs from the same roots, and becomes inseparably intertwined with intelligence. I came across this article in The Creativity Post that corroborated ideas I have been working on for […]
03 Feb Mapping a Thought
What is truly going on in a network of billions of cells with trillions of connections? Can we even begin to figure it out – is mapping a thought possible? When I was in the midst of my studies in which I initially wrote this, MRIs and CAT scans were the best of our ability […]
30 Jan From Aristotle to the Enchanted Loom
“Swiftly the brain becomes an enchanted loom, where millions of flashing shuttles weave a dissolving pattern-always a meaningful pattern-though never an abiding one” (Charles Sherrington). What of the centillion warps and woofs of ideation? Does it never abide? Passing seems to take away all that was ever weft, unless the Gods endow immortality on our thoughts and carry them […]
18 Jan Multi-Layered Perceptron
Multi-Layered Perceptron In prior posts we introduced the concept of the artificial neural network and the perceptron model as a simple implementation of a neural network. We showed the structure, including an input layer and an output layer. Let’s look at one of the typical approaches for processing input to derive the output. The net output of […]
17 Jan Perceptrons and Weighted Schemes
Perceptrons In the late 1600’s, John Locke expounded an associationist theory in which neurons or “bundles” of neurons came to represent certain ideas and associations between ideas. Rosenblatt‘s work seems a logical extension of associationist theory. Perceptrons can perform linear discrimination, thus enabling them to model the cognitive function of recognition (or, in computational terms, pattern classification). […]
13 Jan Harmonic Convergence of Light
Light waves diverge and converge and bend on their journey to places where they are perceived. We choose to focus, perceived light waves enter us through the portals of our eyes, then flow through the visual cortex and resonate in the brain until they trigger recognition, often very quickly. The illustration shows a lens that […]
10 Jan Shades of Meaning
I have been sharing my observations on the electrical behavior of the brain this month, with a brief glance at perspectives on perception. My work began, and may end with language. As my springboard into artificial intelligence, I’ve been trying for years to develop computer programs that can understand your intent and use that understanding […]
09 Jan What of Perception
Questions Cognitive Modelers Might Ask The biological and chemical processes associated with brain activity are the foundation on which our exploration of the cognitive mind is built. Yet the physiological underpinnings are not sufficient, in themselves, to lead us to the next cybernetic level. Too many questions are left unanswered. In this section of Understanding […]
01 Jan Axon and Dendrite Growth
Link Formation in a Bio-Network It was once believed that the link structure of the nervous system was formed randomly during embryogenesis and remained static after maturation – sometime between early development and adolescence (except for regeneration after injury). Due to improved imaging resolutions and preparation techniques, we now know that axon termini, dendrites, and spines […]