Tillman, Gail D. Calley, Clifford S. Buhl, Virginia I. Chiang, Hsueh-Sheng Haley, Robert W. Hart, John and Kraut, Michael A. 2017. Electrophysiological correlates of semantic memory retrieval in Gulf War Syndrome 2 patients. Journal of the Neurological Sciences, Vol. 373, p. 66.
Chiang, Hsueh-Sheng Eroh, Justin Spence, Jeffrey S. Motes, Michael A. Maguire, Mandy J. Krawczyk, Daniel C. Brier, Matthew R. Hart, John and Kraut, Michael A. 2016. Common and differential electrophysiological mechanisms underlying semantic object memory retrieval probed by features presented in different stimulus types. International Journal of Psychophysiology, Vol. 106, p. 77.
Singla, Shaffali and Piplani, Poonam 2016. Coumarin derivatives as potential inhibitors of acetylcholinesterase: Synthesis, molecular docking and biological studies. Bioorganic & Medicinal Chemistry, Vol. 24, Issue. 19, p. 4587.
Fang, Yuxing Han, Zaizhu Zhong, Suyu Gong, Gaolang Song, Luping Liu, Fangsong Huang, Ruiwang Du, Xiaoxia Sun, Rong Wang, Qiang He, Yong and Bi, Yanchao 2015. The semantic anatomical network: Evidence from healthy and brain-damaged patient populations. Human Brain Mapping, Vol. 36, Issue. 9, p. 3499.
Ursino, Mauro Cuppini, Cristiano and Magosso, Elisa 2015. A neural network for learning the meaning of objects and words from a featural representation. Neural Networks, Vol. 63, p. 234.
Chiang, Hsueh-Sheng Mudar, Raksha A. Spence, Jeffrey S. Pudhiyidath, Athula Eroh, Justin DeLaRosa, Bambi Kraut, Michael A. and Hart, John 2014. Age-related changes in feature-based object memory retrieval as measured by event-related potentials. Biological Psychology, Vol. 100, p. 106.
Calley, Clifford S. Motes, Michael A. Chiang, H-Sheng Buhl, Virginia Spence, Jeffrey S. Abdi, Hervé Anand, Raksha Maguire, Mandy Estevez, Leonardo Briggs, Richard Freeman, Thomas Kraut, Michael A. and Hart, John 2013. Threat as a feature in visual semantic object memory. Human Brain Mapping, Vol. 34, Issue. 8, p. 1946.
Crosson, Bruce 2013. Thalamic mechanisms in language: A reconsideration based on recent findings and concepts. Brain and Language, Vol. 126, Issue. 1, p. 73.
Han, Z. Ma, Y. Gong, G. He, Y. Caramazza, A. and Bi, Y. 2013. White matter structural connectivity underlying semantic processing: evidence from brain damaged patients. Brain, Vol. 136, Issue. 10, p. 2952.
Hart, John Maguire, Mandy J. Motes, Michael Mudar, Raksha Anand Chiang, Hsueh-Sheng Womack, Kyle B. and Kraut, Michael A. 2013. Semantic memory retrieval circuit: Role of pre-SMA, caudate, and thalamus. Brain and Language, Vol. 126, Issue. 1, p. 89.
Knuepffer, C. Murdoch, B.E. Lloyd, D. Lewis, F.M. and Hinchliffe, F.J. 2012. Reduced N400 semantic priming effects in adult survivors of paediatric and adolescent traumatic brain injury. Brain and Language, Vol. 123, Issue. 1, p. 52.
de Medeiros, Kate Mosby, Amanda Hanley, Kathryn B. Pedraza, Maria Suarez and Brandt, Jason 2011. A randomized clinical trial of a writing workshop intervention to improve autobiographical memory and well-being in older adults. International Journal of Geriatric Psychiatry, Vol. 26, Issue. 8, p. 803.
Ursino, Mauro Cuppini, Cristiano and Magosso, Elisa 2011. An integrated neural model of semantic memory, lexical retrieval and category formation, based on a distributed feature representation. Cognitive Neurodynamics, Vol. 5, Issue. 2, p. 183.
Calley, Clifford S. Kraut, Michael A. Spence, Jeffery S. Briggs, Richard W. Haley, Robert W. and Hart, John 2010. The neuroanatomic correlates of semantic memory deficits in patients with Gulf War illnesses: a pilot study. Brain Imaging and Behavior, Vol. 4, Issue. 3-4, p. 248.
Assaf, Michal Jagannathan, Kanchana Calhoun, Vince Kraut, Michael Hart, John and Pearlson, Godfrey 2009. Temporal sequence of hemispheric network activation during semantic processing: A functional network connectivity analysis. Brain and Cognition, Vol. 70, Issue. 2, p. 238.
Cuppini, C. Magosso, E. and Ursino, M. 2009. A neural network model of semantic memory linking feature-based object representation and words. Biosystems, Vol. 96, Issue. 3, p. 195.
Mahon, Bradford Z. and Caramazza, Alfonso 2009. Concepts and Categories: A Cognitive Neuropsychological Perspective. Annual Review of Psychology, Vol. 60, Issue. 1, p. 27.
BRIER, MATTHEW R. MAGUIRE, MANDY J. TILLMAN, GAIL D. HART, JOHN and KRAUT, MICHAEL A. 2008. Event-related potentials in semantic memory retrieval. Journal of the International Neuropsychological Society, Vol. 14, Issue. 05,
Drane, Daniel L. Ojemann, George A. Aylward, Elizabeth Ojemann, Jeffrey G. Johnson, L. Clark Silbergeld, Daniel L. Miller, John W. and Tranel, Daniel 2008. Category-specific naming and recognition deficits in temporal lobe epilepsy surgical patients. Neuropsychologia, Vol. 46, Issue. 5, p. 1242.
Semantic memory is described as the storage of knowledge, concepts, and information that is common and relatively consistent across individuals (e.g., memory of what is a cup). These memories are stored in multiple sensorimotor modalities and cognitive systems throughout the brain (e.g., how a cup is held and manipulated, the texture of a cup's surface, its shape, its function, that is related to beverages such as coffee, and so on). Our ability to engage in purposeful interactions with our environment is dependent on the ability to understand the meaning and significance of the objects and actions around us that are stored in semantic memory. Theories of the neural basis of the semantic memory of objects have produced sophisticated models that have incorporated to varying degrees the results of cognitive and neural investigations. The models are grouped into those that are (1) cognitive models, where the neural data are used to reveal dissociations in semantic memory after a brain lesion occurs; (2) models that incorporate both cognitive and neuroanatomical information; and (3) models that use cognitive, neuroanatomic, and neurophysiological data. This review highlights the advances and issues that have emerged from these models and points to future directions that provide opportunities to extend these models. The models of object memory generally describe how category and/or feature representations encode for object memory, and the semantic operations engaged in object processing. The incorporation of data derived from multiple modalities of investigation can lead to detailed neural specifications of semantic memory organization. The addition of neurophysiological data can potentially provide further elaboration of models to include semantic neural mechanisms. Future directions should incorporate available and newly developed techniques to better inform the neural underpinning of semantic memory models. (JINS, 2007, 13, 865–880.)
This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.
Email your librarian or administrator to recommend adding this journal to your organisation's collection.