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.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

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
MeSH Number(s)	E05.599.395.642
Concept/Terms	Models, Neurological Models, Neurological Neurological Model Neurologic Models Neurologic Model Model, Neurologic Models, Neurologic Model, Neurological Neurological Models

Below are MeSH descriptors whose meaning is more general than "Models, Neurological".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Models, Theoretical [E05.599]
Models, Biological [E05.599.395]
Models, Neurological [E05.599.395.642]

Below are MeSH descriptors whose meaning is related to "Models, Neurological".

Below are MeSH descriptors whose meaning is more specific than "Models, Neurological".

Models, Neurological
Neurolinguistic Programming

publications

Timeline | Most Recent

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.

Bar chart showing 76 publications over 25 distinct years, with a maximum of 7 publications in 2014

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
1997	0	1	1
1998	0	3	3
1999	0	1	1
2000	1	1	2
2001	1	2	3
2002	1	2	3
2003	0	1	1
2004	0	4	4
2005	2	3	5
2006	1	0	1
2007	1	0	1
2008	1	1	2
2009	3	3	6
2010	1	3	4
2011	3	0	3
2012	1	1	2
2013	1	3	4
2014	6	1	7
2015	0	4	4
2016	4	0	4
2017	2	2	4
2018	2	0	2
2019	2	1	3
2020	2	0	2
2021	2	2	4

Below are the most recent publications written about "Models, Neurological" by people in Profiles.

Paydarfar DA, Paydarfar D, Mucha PJ, Chang J. Optimizing Emergency Stroke Transport Strategies Using Physiological Models. Stroke. 2021 12; 52(12):4010-4020.

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Coy R, Berg M, Phillips JB, Shipley RJ. Modelling-informed cell-seeded nerve repair construct designs for treating peripheral nerve injuries. PLoS Comput Biol. 2021 07; 17(7):e1009142.

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Dick AS, Lopez DA, Watts AL, Heeringa S, Reuter C, Bartsch H, Fan CC, Kennedy DN, Palmer C, Marshall A, Haist F, Hawes S, Nichols TE, Barch DM, Jernigan TL, Garavan H, Grant S, Pariyadath V, Hoffman E, Neale M, Stuart EA, Paulus MP, Sher KJ, Thompson WK. Meaningful associations in the adolescent brain cognitive development study. Neuroimage. 2021 10 01; 239:118262.

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Amgalan A, Taylor P, Mujica-Parodi LR, Siegelmann HT. Unique scales preserve self-similar integrate-and-fire functionality of neuronal clusters. Sci Rep. 2021 03 05; 11(1):5331.

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Tsuda B, Tye KM, Siegelmann HT, Sejnowski TJ. A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex. Proc Natl Acad Sci U S A. 2020 11 24; 117(47):29872-29882.

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Schrimpf M, Kubilius J, Lee MJ, Ratan Murty NA, Ajemian R, DiCarlo JJ. Integrative Benchmarking to Advance Neurally Mechanistic Models of Human Intelligence. Neuron. 2020 11 11; 108(3):413-423.

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Bicks LK, Yamamuro K, Flanigan ME, Kim JM, Kato D, Lucas EK, Koike H, Peng MS, Brady DM, Chandrasekaran S, Norman KJ, Smith MR, Clem RL, Russo SJ, Akbarian S, Morishita H. Prefrontal parvalbumin interneurons require juvenile social experience to establish adult social behavior. Nat Commun. 2020 02 21; 11(1):1003.

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Rosowski JJ, Remenschneider AK, Tao Cheng J. Limitations of present models of blast-induced sound power conduction through the external and middle ear. J Acoust Soc Am. 2019 11; 146(5):3978.

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Saunders DJ, Patel D, Hazan H, Siegelmann HT, Kozma R. Locally connected spiking neural networks for unsupervised feature learning. Neural Netw. 2019 Nov; 119:332-340.

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Kazemivalipour E, Keil B, Vali A, Rajan S, Elahi B, Atalar E, Wald LL, Rosenow J, Pilitsis J, Golestanirad L. Reconfigurable MRI technology for low-SAR imaging of deep brain stimulation at 3T: Application in bilateral leads, fully-implanted systems, and surgically modified lead trajectories. Neuroimage. 2019 10 01; 199:18-29.

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