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Neuroinformatics is the emergent field that combines informatics and neuroscience. Neuroinformatics is related with neuroscience data and information processing by artificial neural networks . [ 1 ] There are three main directions where neuroinformatics has to be applied: [ 2 ]
The development of neuroinformatics databases for anatomical connectivity allow for continual updating and refinement of such anatomical connection maps. The online macaque cortex connectivity tool CoCoMac (Kötter, 2004) [ 14 ] and the temporal lobe connectome of the rat [ 15 ] are prominent examples of such a database.
Judea Pearl at his poster at the 2013 Conference on Neural Information Processing Systems. Along with machine learning and neuroscience, other fields represented at NeurIPS include cognitive science, psychology, computer vision, statistical linguistics, and information theory.
NeuroLex is a lexicon of neuroscience concepts supported by the Neuroscience Information Framework project, which is funded by the NIH Blueprint for Neuroscience Research. [1] ...
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The field of neural engineering draws on the fields of computational neuroscience, experimental neuroscience, neurology, electrical engineering and signal processing of living neural tissue, and encompasses elements from robotics, cybernetics, computer engineering, neural tissue engineering, materials science, and nanotechnology.
Informatics (a combination of the words "information" and "automatic") is the study of computational systems. [1] [2] According to the ACM Europe Council and Informatics Europe, informatics is synonymous with computer science and computing as a profession, [3] in which the central notion is transformation of information.
The Neuroscience Information Framework (NIF) is an initiative of the NIH Blueprint for Neuroscience Research, which was established in 2004 by the National Institutes of Health.