Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Antje Krumnack"'
Publikováno v:
Frontiers in Neuroinformatics, Vol 4 (2010)
In a recent paper (Reid et al.; 2009, NeuroImage) we introduced a method to calculate optimal hierarchies in the visual network that utilizes continuous, rather than discrete, hierarchical levels, and permits a range of acceptable values rather than
Externí odkaz:
https://doaj.org/article/382cfc65230242a098d559d47fbf3459
Publikováno v:
Frontiers in Neuroinformatics, Vol 1 (2007)
Recent applications of network theory to brain networks as well as the expanding empirical databases of brain architecture spawn an interest in novel techniques for analyzing connectivity patterns in the brain. Treating individual brain structures as
Externí odkaz:
https://doaj.org/article/f962700c2978445db9f338074e003f0d
Publikováno v:
Journal of Spatial Science. 57:37-50
The term ‘structural salience’ refers to the characteristics of landmarks that are immediately related to navigation. One of the central aspects of this kind of salience is where a landmark is located at an intersection. Klippel and Winter (2005)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::138d459100762adf3df53555018af9e9
https://doi.org/10.1080/14498596.2012.686362
https://doi.org/10.1080/14498596.2012.686362
Publikováno v:
Cognitive Systems Research. 12:377-392
Deductive reasoning is an essential part of complex cognition. It occurs whenever human beings (or machines) draw conclusions that go beyond what is explicitly provided. Reasoning about spatial relations is an excellent testbed for the assessment of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97a10ab553201c59fb84e2abca36d696
https://doi.org/10.1016/j.cogsys.2010.11.001
https://doi.org/10.1016/j.cogsys.2010.11.001
Publikováno v:
Frontiers in Neuroinformatics, 4
Frontiers in Neuroinformatics, Vol 4 (2010)
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics, Vol 4 (2010)
Frontiers in Neuroinformatics
Contains fulltext : 87841.pdf (Publisher’s version ) (Open Access) In a recent paper (Reid et al., 2009) we introduced a method to calculate optimal hierarchies in the visual network that utilizes continuous, rather than discrete, hierarchical leve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92b32d1ef17150a19fd5173c903f31f4
https://hdl.handle.net/2066/87841
https://hdl.handle.net/2066/87841
Publikováno v:
NeuroImage, 47, 611-7
NeuroImage, 47, 2, pp. 611-7
NeuroImage, 47, 2, pp. 611-7
Contains fulltext : 81553.pdf (Publisher’s version ) (Closed access) Although information flow in the neocortex has an apparent hierarchical organization, there is much ambiguity with respect to the definition of such a hierarchy, particularly in h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c67044752490c073aa7fc11a3643b18f
http://hdl.handle.net/2066/81553
http://hdl.handle.net/2066/81553
Publikováno v:
Neural Networks, 21, 8, pp. 1132-45
Neural Networks, 21, 1132-45
Neural Networks, 21, 1132-45
Contains fulltext : 69620.pdf (Publisher’s version ) (Closed access) We propose a new technique, called Spatial Objective Relational Transformation (SORT), as an automated approach for derivation of logical relationships between cortical areas in d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe8c50bcaecc8aff21d3f0283e749184
https://hdl.handle.net/2066/69620
https://hdl.handle.net/2066/69620
Publikováno v:
Fourth IFIP International Conference on Theoretical Computer Science-TCS 2006 ISBN: 9780387346335
We compute the influence of a vertex on the connectivity structure of a directed network by using Shapley value theory. In general, the computation of such ratings is highly inefficient. We show how the computation can be managed for many practically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b33ba5418e3edbc9cbac3cf9652404e
https://doi.org/10.1007/978-0-387-34735-6_23
https://doi.org/10.1007/978-0-387-34735-6_23