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Nature
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May 31, 2002
Trends and random fluctuations in athletics
Daniel Gembris, John G Taylor, Dieter Suter
Brain Research. Cognitive Brain Research
|
August 16, 2005
A neurodynamic model of the attentional blink
Nickolaos Fragopanagos, Stephanus Kockelkoren, John G Taylor
Neural Networks : the Official Journal of the International Neural Network Society
|
November 28, 2009
Editorial for 2010
Kenji Doya, Stephen Grossberg, John G Taylor
Neural Networks : the Official Journal of the International Neural Network Society
|
March 1, 1997
The New ERA in Supervised Learning
JOHN G. TAYLOR, ADRIAN J. SHEPHERD, DENISE GORSE
Neural Networks : the Official Journal of the International Neural Network Society
|
October 31, 2006
The micro-structure of attention
Neill R Taylor, Matthew Hartley, John G Taylor
Neural Networks : the Official Journal of the International Neural Network Society
|
December 2, 2010
An excellent year and a transition
Kenji Doya, Stephen Grossberg, John G Taylor, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
July 22, 2009
Microcircuits--their structure, dynamics and role for brain function
Vassilis Cutsuridis, Thomas Wennekers, Bruce P Graham, et al.
IEEE Transactions on Neural Networks
|
November 30, 2004
A general framework for learning rules from data
Bruno Apolloni, Anna Esposito, Dario Malchiodi, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
November 4, 2006
Attention as a controller
Nienke J H Korsten, Nikos Fragopanagos, Matthew Hartley, et al.
Journal of Cognitive Neuroscience
|
July 27, 2007
Efficient attentional selection predicts distractor devaluation: event-related potential evidence for a direct link between attention and emotion
Monika Kiss, Brian A Goolsby, Jane E Raymond, et al.
Page
of 3
Search research articles
Search
Showing results (11-20 of 22) with videos related to
Sort By:
Page
of 3
Nature
|
May 31, 2002
Trends and random fluctuations in athletics
Daniel Gembris, John G Taylor, Dieter Suter
Brain Research. Cognitive Brain Research
|
August 16, 2005
A neurodynamic model of the attentional blink
Nickolaos Fragopanagos, Stephanus Kockelkoren, John G Taylor
Neural Networks : the Official Journal of the International Neural Network Society
|
November 28, 2009
Editorial for 2010
Kenji Doya, Stephen Grossberg, John G Taylor
Neural Networks : the Official Journal of the International Neural Network Society
|
March 1, 1997
The New ERA in Supervised Learning
JOHN G. TAYLOR, ADRIAN J. SHEPHERD, DENISE GORSE
Neural Networks : the Official Journal of the International Neural Network Society
|
October 31, 2006
The micro-structure of attention
Neill R Taylor, Matthew Hartley, John G Taylor
Neural Networks : the Official Journal of the International Neural Network Society
|
December 2, 2010
An excellent year and a transition
Kenji Doya, Stephen Grossberg, John G Taylor, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
July 22, 2009
Microcircuits--their structure, dynamics and role for brain function
Vassilis Cutsuridis, Thomas Wennekers, Bruce P Graham, et al.
IEEE Transactions on Neural Networks
|
November 30, 2004
A general framework for learning rules from data
Bruno Apolloni, Anna Esposito, Dario Malchiodi, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
November 4, 2006
Attention as a controller
Nienke J H Korsten, Nikos Fragopanagos, Matthew Hartley, et al.
Journal of Cognitive Neuroscience
|
July 27, 2007
Efficient attentional selection predicts distractor devaluation: event-related potential evidence for a direct link between attention and emotion
Monika Kiss, Brian A Goolsby, Jane E Raymond, et al.
Page
of 3