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13 Mar Intro to Understanding Context

Understanding It has been said that it is not possible to fully understand another person’s meaning without inhabiting their experiences and their current state of mind. And yet, communication is often completely successful. The most effective communications are between people who empathize well and avoid applying their own biases when listening to others. For humans, […]

10 Mar Biological Brains – Section 1 Intro

Brain Sparks

In this segment of the Understanding Context Blog, I will take a high level look at the brain: Its areas, Cell types, And functions. I’ll also explore where the brain stores and processes different types of information, including emotions. Studying the human brain is an important part of this analysis, because biological brains clearly outperform man-made information […]

06 Mar Correlation in Neuroeconomics

Coordinating Areas in the Cerebrum

I find that driving when my body is tense, especially on slick roads or in poor visibility, is uncomfortable to the point of danger. Stress is a killer. I found, as a student, that relaxing at the piano just before going in to the test helped me perform better (on the test). I think many […]

26 Feb Choosing an Ontology Framework

Knowledge Domains

Ontology is a knowledge representation language like Roger Schank‘s Semantic Networks and John Sowa‘s Conceptual Graphs or Doug Lenat‘s Semantic Web. An Ontology framework is the model (structure, function and content definition) in which you choose to build your ontology. Like a Relational Database or an Object Oriented Programming Language, an ontology has defined structures, functions […]

24 Feb Intro to the End of Code

Punched Card Stack

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 […]

21 Jan Gating in Human Reasoning

Filter

Both neuroscience and computer science have borrowed the metaphor of the gate for representing the function of letting some things go through and restricting others. In computing it is mostly a binary function: if the gate is closed, nothing comes in, if the gate is open, everything that is at the threshold comes in. I chose the pictures above because gates […]

19 Jan Theories on Microtubules’ Function in Thought

Microtubules in the Cytoskeleton

Microtubule Functions Continuing to look inside neurons for the knowledge storage and processing mechanisms, let’s consider what Microtubules do. Microtubules serve many clearly identified functions. These functions include acting as structural members of the cytoskeleton, providing cellular orientation, and guiding membrane and cytoplasmic movements. In addition to these known functions, there is evidence that suggests […]

24 Dec Neuron Components and Cybernetics

Neuron Organelles

What About Cybernetics? The properties of subcellular neuron components, also known as organelles, are important to this research because they might contribute to the information acquisition, storage, accessing and maintenance systems of the brain. I plan to further discuss the reason for separating storage and maintenance in a post in the section on cognition. These […]

03 Dec Language Expressiveness

Expressiveness Human languages are eloquent vehicles for giving form to the motion of the human mind. They provide symbol-rich expressions for our thoughts and communications. Language is dynamic and defies circumscription. Yet, it is circumspect; it is also useful and extremely beautiful. To comprehend is to begin to capture that beauty. The expressiveness of language […]

01 Dec Robot Neurons: Analog versus Digital

Digital Brain

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 […]