Neural coding refers to the way an organic brain stores information physically, as strings of interconnected neurons and ganglion cells. It is in essence, the code that underlies the basic workings of the mind, and as such, is continually being studied with a mind to reverse engineering the process. The implications for direct brain interfaces, artificial intelligence, mental deformities, and the understanding of the mind itself are of course immense.
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This fairly short introduction to MUSH coding, includes the key facts needed, some excellent references, and a companion article, Coding by Example: +where.
A humourous article, obviously geared for MUDs, but equally applicable to any virtual environment, should you find yourself coding for it, and these things (or their equivalent) start occurring. It may seem silly, but things like this do still occur. Even to so-called commercial worlds.
An excellent, easy-to-follow look at using neural networks to control the movement of AI vehicles (or dragons, or whatever). Includes careful break down of how neural networks work, and carries a gradual learning curve upwards.
When it comes to advanced prosthetic limbs - or for that matter virtual limbs relying on the same basic principles, getting the control circuitry to function properly is crucial. One of the most important aspects of said control circuitry, is the neural coding that binds the limb to the nerve impulses of the surviving ends of the peripheral nervous system.
Neural readers and neurostimulators. You will never encounter two more opposing types of brain prosthesis. It is ironic then, that these two are perhaps the most frequently confused, by the lay-person.
Japanese researchers have created the very first, incredibly crude, neural-jack interface, a distant ancestor of those seen in cyberpunk and the Matrix films, but of the same lineage all the same.
An in-depth technical look at the neural-controlled weapon in Sol Bianca. How it would actually function, and the basics of how we would go about recreating it in functional form, from technology available today.
This lengthy article, compiled from a set of slides, gives an excellent overview of neural networks, without delving into too much depth. Excellent for an intro.
Neural networks are one of the best techniques available, for modelling a mind. However, they are also processing-intensive, and somewhat uncontrollable at their current technological level. This article concentrates on using directive sets, rather than neural nets, to create realistic, task driven behaviour.
This companion article to MUSH Code: looks at implementing a listing function of players / administrators, and where they are.
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Programming Neural Networks in Java will show the intermediate to advanced Java programmer how to create neural networks. This book attempts to teach neural network programming through two mechanisms. First the reader is shown how to create...
In the moments before you “stop and smell the roses,” it’s likely your brain is already preparing your sensory system for that familiar floral smell. New research from Northwestern Medicine offers strong evidence that the brain uses p...
Conference Dates: August 26 ? 28, 2007
Location: Pennsylvania State University, State College, Pennsylvania, USA
This NIMH supported conference will provide an intensive dialogue among leading thinkers about the rapidl...
The European Union has earmarked three million Euros for a project called NanoBioTact, due to start early this year. This cross-discipline group from both academic and industrial backgrounds is dedicated to creating a 'biomimetic finger. A...
Elusive Capacity of Networks: Calculating Data Network's Total Capacity Notoriously Difficult, but Theorists Making Some Headway
In its early years, information theory -- which grew out of a landmark 1948 paper by MIT alumnus and future professor Claude Shannon -- was dominated by research on error-correcting codes: How do you encode information so as to guarantee it...