 Models, Neurological
"Models, Neurological" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Theoretical representations that simulate the behavior or activity of the neurological system, processes or phenomena; includes the use of mathematical equations, computers, and other electronic equipment.
| Descriptor ID |
D008959
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| MeSH Number(s) |
E05.599.395.642
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| Concept/Terms |
Models, Neurological- Models, Neurological
- Neurological Model
- Neurologic Models
- Neurologic Model
- Model, Neurologic
- Models, Neurologic
- Model, Neurological
- Neurological Models
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Below are MeSH descriptors whose meaning is more general than "Models, Neurological".
Below are MeSH descriptors whose meaning is more specific than "Models, Neurological".
This graph shows the total number of publications written about "Models, Neurological" by people in this website by year, and whether "Models, Neurological" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1980 | 0 | 1 | 1 | | 1984 | 1 | 1 | 2 | | 1986 | 1 | 0 | 1 | | 1987 | 0 | 1 | 1 | | 1988 | 0 | 1 | 1 | | 1990 | 1 | 0 | 1 | | 1991 | 0 | 2 | 2 | | 1992 | 0 | 2 | 2 | | 1993 | 2 | 0 | 2 | | 1994 | 1 | 2 | 3 | | 1995 | 1 | 1 | 2 | | 1996 | 0 | 1 | 1 | | 1997 | 1 | 4 | 5 | | 1998 | 1 | 2 | 3 | | 1999 | 1 | 3 | 4 | | 2000 | 2 | 1 | 3 | | 2001 | 1 | 2 | 3 | | 2002 | 3 | 0 | 3 | | 2003 | 1 | 7 | 8 | | 2004 | 1 | 2 | 3 | | 2006 | 4 | 3 | 7 | | 2007 | 4 | 4 | 8 | | 2008 | 6 | 4 | 10 | | 2009 | 6 | 4 | 10 | | 2010 | 4 | 3 | 7 | | 2011 | 6 | 3 | 9 | | 2012 | 4 | 2 | 6 | | 2013 | 2 | 3 | 5 | | 2014 | 6 | 0 | 6 | | 2015 | 2 | 5 | 7 | | 2016 | 1 | 0 | 1 |
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Below are the most recent publications written about "Models, Neurological" by people in Profiles.
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Poll DB, Nguyen K, Kilpatrick ZP. Sensory feedback in a bump attractor model of path integration. J Comput Neurosci. 2016 Apr; 40(2):137-55.
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Veliz-Cuba A, Shouval HZ, Josic K, Kilpatrick ZP. Networks that learn the precise timing of event sequences. J Comput Neurosci. 2015 Dec; 39(3):235-54.
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Zhu X, Kayali MA, Jansen BH. A method to analyze low signal-to-noise ratio functional magnetic resonance imaging data. J Integr Neurosci. 2015 Sep; 14(3):325-42.
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Marsh BT, Tarigoppula VS, Chen C, Francis JT. Toward an autonomous brain machine interface: integrating sensorimotor reward modulation and reinforcement learning. J Neurosci. 2015 May 13; 35(19):7374-87.
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Jiménez D, Labate D, Kakadiaris IA, Papadakis M. Improved automatic centerline tracing for dendritic and axonal structures. Neuroinformatics. 2015 Apr; 13(2):227-44.
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Bae J, Sanchez Giraldo LG, Pohlmeyer EA, Francis JT, Sanchez JC, Príncipe JC. Kernel temporal differences for neural decoding. Comput Intell Neurosci. 2015; 2015:481375.
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He Y, Contreras-Vidal JL. Classification of finger vibrotactile input using scalp EEG. Conf Proc IEEE Eng Med Biol Soc. 2015; 2015:4717-20.
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Faghih RT, Barbieri R, Paulk AC, Asaad WF, Brown EN, Dougherty DD, Widge AS, Eskandar EN, Eden UT. Estimating a dynamic state to relate neural spiking activity to behavioral signals during cognitive tasks. Conf Proc IEEE Eng Med Biol Soc. 2015; 2015:7808-13.
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Thompson JA, Lanctin D, Ince NF, Abosch A. Clinical implications of local field potentials for understanding and treating movement disorders. Stereotact Funct Neurosurg. 2014; 92(4):251-63.
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Li L, Brockmeier AJ, Choi JS, Francis JT, Sanchez JC, Príncipe JC. A tensor-product-kernel framework for multiscale neural activity decoding and control. Comput Intell Neurosci. 2014; 2014:870160.
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