|
Virtual Dictionary
Neural Oscillation A neural oscillation is a repetitive signal present in the brain's neural activity or brainwave patterns. As such it's appearance in the signal is predictable for a given individual under a given stimulus. Below, we offer a selection of links from our resource databases which may match this term.
Related Dictionary
Entries for Neural Oscillation:
Resources
in our database matching the Term Neural Oscillation:
Results by page [1] [2] [3] [4] ![]() 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. ![]() ![]() ![]() ![]() ![]() ![]() ![]() 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. ![]() ![]() ![]() Through neural interfaces, it will be ultimately bepossible to record all of a person's senses about the area they are in. That leads to 'being somewhere else, now' in which a user can experience life at a beautiful locale, or historic discovery through the experiences of another - without going there themselves. ![]() ![]()
Industry
News containing the Term Neural Oscillation:
Results by page (14/04/2013)
Slow oscillations in brain activity, which occur during so-called slow-wave sleep, are critical for retaining memories. Researchers reporting online April 11 in the Cell Press journal Neuron have found that playing sounds synchronized to th...
(27/09/2005)
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...
(06/08/2007)
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...
(21/08/2009)
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...
(29/04/2009)
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...
|