Arbib, Michael A.3; Bonaiuto, James J.9; Bornkessel-Schlesewsky, Ina5; Kemmerer, David6; MacWhinney, Brian7; Nielsen, Finn Årup1; Oztop, Erhan10
1 Department of Applied Mathematics and Computer Science, Technical University of Denmark2 Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark3 University of Southern California4 California Institute of Technology5 University of Marburg6 Purdue University7 Carnegie Mellon University8 Ozyegin University9 California Institute of Technology10 Ozyegin University
We assess the challenges of studying action and language mechanisms in the brain, both singly and in relation to each other to provide a novel perspective on neuroinformatics, integrating the development of databases for encoding - separately or together - neurocomputational models and empirical data that serve systems and cognitive neuroscience.
Neuroinformatics, 2014, Vol 12, Issue 1, p. 209-225
Brain; Databases, Factual; Humans; Informatics; Language; Mirror Neurons; Models, Neurological; action mechanism; cognitive neuroscience; language mechanism; neuroinformatics; Primates Mammalia Vertebrata Chordata Animalia (Animals, Chordates, Humans, Mammals, Primates, Vertebrates) - Hominidae  human common; 04500, Mathematical biology and statistical methods; 10515, Biophysics - Biocybernetics; 20504, Nervous system - Physiology and biochemistry; Communication; Computational Biology; Neural Coordination; brain nervous system; neurocomputational model mathematical and computer techniques; Linguistics; Models and Simulations; Nervous System; COMPUTER; NEUROSCIENCES; EVENT-RELATED POTENTIALS; MIRROR NEURON SYSTEM; SENTENCE COMPREHENSION; COMPUTATIONAL MODEL; INFORMATION; CORTEX; NEUROSCIENCE; DYNAMICS; DESIGN; MEMORY; Linking models and experiments; Models; neurocomputational; Action and the brain; Language and the brain; Mirror systems; Multi-level data; Multi-level models Databasing empirical data; Federation of databases; Collaboratory workspaces; HASH(0x50c32c8); Models, neurocomputational; Multi-level models; Databasing empirical data