Neural computation is an alternate term for the more often used ?neurocomputation?. Both terms refer to exactly the same field. Neural computation is the study of neural networks, both biological and utterly artificial. All attempts to build a brain fall into this category, as does much artificial general intelligence work. The brains constructed by neurocomputation, are in turn studied by the field of neurophysiology, to draw parallels with natural brains and nervous systems. In this way, the two fields continually positively reinforce one another.
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Resources in our database matching the Term Neural Computation:
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.
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.
A physorg article, looking at one man's quest to bring augmented reality interfaces for computation into existence - blending the computer interface with the physical world.
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.
Computer scientists from UC San Diego have developed a way to generate images like smoke-filled bars, foggy alleys and smog-choked cityscapes without the computational drag and slow speed of previous computer graphics methods.
One of the (hopefully) characteristic human gestures of the not so distant future.
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A computer constructed from a hybrid of silicon chips and a culture of living rat brain cells has been trained to fly an F-22 fighter jet simulator by scientists from the University of Florida.
The "brain", grown from 25,00...
Technion scientists have developed a biological computer, composed entirely of DNA molecules and enzymes constructed on a gold-coated chip.
The new computer can accept as many as 1 billion programs. This is a dramatic advance...
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...
Japanese research group led by Professor Junichi Nabekura in National Institute for Physiological Sciences, NIPS, Japan, found that, after cerebral stroke in one side of the mouse brain, another side of the brain rewires its neural circuits...
Texas Tech University researchers have developed a way to automatically diagnose epilepsy with an accuracy rate of 94 percent, by training a neural network to recognize the characteristic patterns in EEG data that indicate the patient is ep...