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Robotic system monitors specific neurons  2017-08-30
Success rate is comparable to that of highly trained scientists performing the process manually.
The Symbol Detachment Problem  2007-04-15
Pezzulo, G. & Castelfranchi, C. The Symbol Detachment Problem. To appear in: Cognitive Processing. online: http://dx.doi.org/10.1007/s10339-007-0164-0
Using motor babbling and Hebb rules for modeling the development of reaching with obstacles and grasping  2008-05-15
Caligiore D., Ferrauto T., Parisi D., Accornero N., Capozza M., Baldassarre G. (2008). Using motor babbling and Hebb rules for modeling the development of reaching with obstacles and grasping. In Dillmann Rüdiger, Maloney Colette, Sandini Giulio, Asfour Tamim, Cheng Gordon, Metta Giorgio, Ude Ales (orgs.), International Conference on Cognitive Systems (CogSys2008) (In electronic format). (University of Karlsruhe, Karlsruhe, Germany, 2-4 April 2008)
Li-Huei Tsai receives Society for Neuroscience Mika Salpeter Lifetime Achievement Award  2016-12-02
Picower Institute director awarded for her research on brain development, neurological disorders, and Alzheimer’s disease.
Automated global structure extraction for effective local building block processing in XCS  2007-03-13
Butz, M.V., Pelikan, M., Llorà, X., & Goldberg, D.E. (2006) Automated global structure extraction for effective local building block processing in XCS. Evolutionary Computation, 14, 345-380.
Scientists identify neurons devoted to social memory  2016-09-29
Cells in the hippocampus store memories of acquaintances, a new study reports.
Quasi-Online Reinforcement Learning for Robots  2007-03-20
B. Bakker, V. Zhumatiy, G. Gruener, J. Schmidhuber: Quasi-Online Reinforcement Learning for Robots, IEEE International Conference on Robotics and Automation (ICRA), 2006.
Toward an integrated biomimetic model of reaching.   2008-05-15
Caligiore D., Parisi D., Baldassarre G. (2007). Towards an integrated biomimetic model of reaching. Demiris Y., Scassellati B., Mareschal D. (eds.). The 6th IEEE International Conference on Development and Learning (ICDL2007). IEEE Catalog Number: 07EX1740C, ISBN: 1-4244-1116-5, Library of Congress: 2007922394, pp. 241-246. London: Imperial College
Sensor traces dopamine released by single cells  2017-02-06
New technology could help neuroscientists understand how dopamine influences brain activity.
 

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Anticipatory Cognitive Science is a research field that ensembles artificial intelligence, biology, psychology, neurology, engineering and philosophy in order to build anticipatory cognitive systems that are able to face human tasks with the same anticipatory capabilities and performance. In deep: Cognitive science is the interdisciplinary study of mind and intelligence, embracing philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. Its intellectual origins are in the mid-1950s when researchers in several fields began to develop theories of mind based on complex representations and computational procedures. Its organizational origins are in the mid-1970s when the Cognitive Science Society was formed and the journal Cognitive Science began. Since then, more than sixty universities in North America, Europe, Asia, and Australia have established cognitive science programs, and many others have instituted courses in cognitive science.