Titlebook: Brain Informatics; International Confer Bin Hu,Jiming Liu,Ning Zhong Conference proceedings 2011 Springer-Verlag GmbH Berlin Heidelberg 201

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Paola D’Aprile,Alfredo Tarantinocs and many other fields. Problem solving was his core work in artificial intelligence and cognitive psychology. He and Newell first postulated a general and systematic framework of human (and machine) problem solving as iteratively applying operators to transform the state of the problem from the s

Graves’-disease

Paola D’Aprile,Alfredo Tarantino alternating phases of data acquisition and evaluation. All memory entries are organized in junks, schemata. At any one time, the activation of part of a schema biases the whole structure and, in particular, missing features. Thus expectations are triggered. In the next step an iterative recursive m

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https://doi.org/10.1007/978-3-030-43627-8-level advantage and its reversal to examine the activities in this region across tasks. As expected, this region was involved in both tasks during the processing of information retrieval. ROI analysis showed there was a stronger activation in word-picture matching (WP) task in LIPFC than that in pi

meretricious

https://doi.org/10.1007/978-3-030-43627-8ity during encoding and retrieval of social statistical information remains unclear. We examined this issue in an fMRI study by measuring the brain activity of 36 normal subjects. The tasks consisted of encoding and retrieval the social statistical information visually presented in three forms: text

Musculoskeletal

Luca Luberto,Sara Garberoglio,Gino Carnazzace. Here we argue that data and model sharing shall be complemented with machine-readable annotations of scientific publications similar to the semantic web, because this would allow for automated knowledge discovery as recently demonstrated using so-called “robot scientists”. We consider a particul

Incumbent

MRI of the Temporomandibular Jointor is studied in a larger perspective of problem solving. The similarity among reflex action, emotional behavior and common sense behavior is observed. Based on these observations an event-response model for artificial system is introduced.