Neuronal processing

Neural processing refers to the way the brain works. In computers, neural processing gives software the ability to adapt to changing situations and to improve its function as more information becomes available. Neural processing is used in software to do tasks such as recognize a human face, predict the weather, analyze speech patterns, and learn new strategies in games. Artificial neural processing mimics this process at a simpler level. A small processing unit, called a neuron or node, performs a simple task of processing and transmitting data. As the simple processing units combine basic information through connectors, the information and processing becomes more complex. Unlike traditional computer processors, which need a human programmer to input new information, neural processors can learn on their own once they are programmed.
Related Journals of Neuronal processing
Journal of Neuroinfectious Diseases, Journal of Infectious Diseases & Therapy, Journal of Neurology & Neurophysiology, Neural Processing Letters, Advances in Artificial Neural Systems, Experimental Brain Research, Acta Neuropathologica, Neuroscience and Behavioral Physiology, Journal of Neurocytology, Acta Neuropathologica