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pro vyhledávání: '"Sigurjon B. Stefansson"'
Autor:
Romain Aubonnet, Ovidiu C. Banea, Roberta Sirica, Eric M. Wassermann, Sahar Yassine, Deborah Jacob, Brynja Björk Magnúsdóttir, Magnús Haraldsson, Sigurjon B. Stefansson, Viktor D. Jónasson, Eysteinn Ívarsson, Aron D. Jónasson, Mahmoud Hassan, Paolo Gargiulo
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Schizophrenia is a complex disorder about which much is still unknown. Potential treatments, such as transcranial magnetic stimulation (TMS), have not been exploited, in part because of the variability in behavioral response. This can be overcome wit
Externí odkaz:
https://doaj.org/article/39e69b5522fa4ffba72192494b0d30c9
Autor:
Jakob Smári, Sigurjon B. Stefansson
Publikováno v:
Nordisk Psykologi. 56:201-217
Smari, J. and Stefansson, S.B. (2004). Mental disorder as a harmful dysfunction: progress or a dead end. Nordisk Psykologi, 56, 3, 201–217. Wakefield's criticism of previous attempts to use and define the notion of mental disorder, for example in t
Publikováno v:
Cognitive Therapy and Research. 18:387-399
The validity of the Paranoia Scale of Fenigstein and Vanable (1992) was investigated in a schizophrenic population. The scale was found to be correlated with clinical ratings of paranoia and marginally with a situational test of paranoia. Further, Fe
Publikováno v:
Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.
A new artificial neural network (ANN) architecture for classification of event-related potential (ERP) waveforms is proposed. The new architecture is called the parallel principal component neural network (PPCNN). The use of PPCNN is discussed in ter
Publikováno v:
Cognitive Psychotherapy Toward a New Millennium ISBN: 9781461351351
Wegner’s theory of thought suppression has been applied in diverse research not the least in psychopathology (see Purdon, 1999; Wenzlaff & Wegner, 2000 for reviews). Some authors have found evidence of a rebound effect (Clark, Ball & Pape, 1991), w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ba02c942d759d9a29d8f656a7a52002
https://doi.org/10.1007/978-1-4615-0567-9_56
https://doi.org/10.1007/978-1-4615-0567-9_56
Parallel principal component neural networks for classification of event-related potential waveforms
Publikováno v:
ResearcherID
Artificial neural networks (ANNs) are discussed in terms of classification of brain auditory event-related potentials (ERPs). A new ANN architecture for the classification of ERPs is proposed. The new architecture is called the parallel principal com