Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Shawn E. Taylor"'
Publikováno v:
INNS-WC
Distal reward refers to a class of problems where reward is temporally distal from actions that lead to reward. The difficulty for any biological neural system is that the neural activations that caused an agent to achieve reward may no longer be pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27269f7cd84f8084b683cbe353273608
https://doi.org/10.1016/j.procs.2012.09.129
https://doi.org/10.1016/j.procs.2012.09.129
Autor:
Richard D. Olinger, Kurt W. Larson, M.J. Healy, Thomas P. Caudell, Shawn E. Taylor, R.J. Young
Publikováno v:
Neurocomputing. 72:3158-3173
A recently developed mathematical semantic theory explains the relationship between knowledge and its representation in connectionist systems. The semantic theory is based upon category theory, the mathematical theory of structure. A product of its e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cc77aa3efb84cee7b98ef47b0f9c54b
https://doi.org/10.1016/j.neucom.2009.03.008
https://doi.org/10.1016/j.neucom.2009.03.008
Autor:
Irene Dubicka, Stephen J. Verzi, Shawn E. Taylor, Michael Lewis Bernard, Craig Michael Vineyard
This report describes the laboratory directed research and development work to model relevant areas of the brain that associate multi-modal information for long-term storage for the purpose of creating a more effective, and more automated, associatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee247a13599f92d6622202cbcbf0fde7
https://doi.org/10.2172/1029756
https://doi.org/10.2172/1029756
Autor:
Craig M. Vineyard, Wendy L. Shaneyfelt, Stephen J. Verzi, Michael Lewis Bernard, Jonathan T. McClain, Irene Dubicka, Shawn E. Taylor, Thomas P. Caudell
Publikováno v:
IJCNN
Hippocampus within medial temporal lobe of the brain is essentially involved in episodic memory formation. Rather than simply being a mechanism of storing information, episodic memory associates information such as the spatial and temporal context of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93628d75cb379ec1d7a2c3750c9fab91
https://doi.org/10.1109/ijcnn.2011.6033487
https://doi.org/10.1109/ijcnn.2011.6033487
Autor:
Stephen J. Verzi, Patrick Watson, Michael Lewis Bernard, Thomas P. Caudell, Craig Michael Vineyard, Mark A. McDaniel, Neal J. Cohen, Shawn E. Taylor, Howard Eichenbaum, James Dan Morrow
Working with leading experts in the field of cognitive neuroscience and computational intelligence, SNL has developed a computational architecture that represents neurocognitive mechanisms associated with how humans remember experiences in their past
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::823ecfa3eb84c57c2a01abf5f515c6fa
https://doi.org/10.2172/986595
https://doi.org/10.2172/986595
Autor:
Thomas P. Caudell, Craig M. Vineyard, J.D. Morrow, Stephen J. Verzi, M.J. Healy, Michael Lewis Bernard, Shawn E. Taylor
Publikováno v:
IJCNN
Encoding sensor observations across time is a critical component in the ability to model cognitive processes. All biological cognitive systems receive sensory stimuli as continuous streams of observed data over time. Therefore, the perceptual groundi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a41992a9a81d3361a8cd4d7f7eb2f97b
https://doi.org/10.1109/ijcnn.2009.5178925
https://doi.org/10.1109/ijcnn.2009.5178925
Autor:
Patrick Watson, Howard Eichenbaum, Neal J. Cohen, Craig Michael Vineyard, Stephen J. Verzi, Michael Lewis Bernard, J.D. Morrow, Thomas P. Caudell, M.J. Healy, Shawn E. Taylor
Publikováno v:
CSIE (5)
We propose a neurologically plausible computational architecture to model human episodic memory and recall based on cortical-hippocampal structure and function. The model design is inspired by neuroscience findings and categorical neural semantic the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8c3c9e1b535fa973aaef3f46f8bb1a2
https://doi.org/10.1109/csie.2009.978
https://doi.org/10.1109/csie.2009.978
Publikováno v:
IJCNN
A recent neural network semantic theory provides the framework for mapping ontologies to neural networks. We use category theory, the mathematical theory of structure, to explore the concept representational abilities of select neural networks. Metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa903a2b3684352fe16673f995ddb312
https://doi.org/10.1109/ijcnn.2007.4371269
https://doi.org/10.1109/ijcnn.2007.4371269
Autor:
Stephen J. Verzi, Michael Lewis Bernard, Thomas P. Caudell, Irene Dubicka, Shawn E. Taylor, Craig M. Vineyard
Publikováno v:
Security Informatics. 1(1):20
The collection and assessment of national security related information often involves an arduous process of detecting relevant associations between people, events, and locations—typically within very large data sets. The ability to more effectively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b2def77195f32851429f3bb547f2b3c