Example of Neural Plasticity format
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Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format Example of Neural Plasticity format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access

Neural Plasticity — Template for authors

Publisher: Hindawi
Categories Rank Trend in last 3 yrs
Neurology (clinical) #92 of 343 up up by 23 ranks
Neurology #53 of 156 up up by 14 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 674 Published Papers | 3518 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 20/06/2020
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Related Journals

open access Open Access
recommended Recommended

SAGE

Quality:  
High
CiteRatio: 9.5
SJR: 1.729
SNIP: 1.739
open access Open Access

SAGE

Quality:  
High
CiteRatio: 7.3
SJR: 1.684
SNIP: 1.763
open access Open Access
recommended Recommended

SAGE

Quality:  
High
CiteRatio: 6.8
SJR: 1.651
SNIP: 1.671
open access Open Access

SAGE

Quality:  
High
CiteRatio: 4.3
SJR: 1.395
SNIP: 2.063

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

3.093

14% from 2018

Impact factor for Neural Plasticity from 2016 - 2019
Year Value
2019 3.093
2018 3.591
2017 3.161
2016 3.054
graph view Graph view
table view Table view

5.2

25% from 2019

CiteRatio for Neural Plasticity from 2016 - 2020
Year Value
2020 5.2
2019 6.9
2018 5.4
2017 4.2
2016 3.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 14% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 25% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.288

9% from 2019

SJR for Neural Plasticity from 2016 - 2020
Year Value
2020 1.288
2019 1.422
2018 1.466
2017 1.348
2016 1.581
graph view Graph view
table view Table view

1.172

7% from 2019

SNIP for Neural Plasticity from 2016 - 2020
Year Value
2020 1.172
2019 1.093
2018 0.938
2017 0.778
2016 0.891
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 9% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 7% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Neural Plasticity

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Hindawi

Neural Plasticity

Approved by publishing and review experts on SciSpace, this template is built as per for Neural Plasticity formatting guidelines as mentioned in Hindawi author instructions. The current version was created on 20 Jun 2020 and has been used by 195 authors to write and format their manuscripts to this journal.

Neuroplasticity

i
Last updated on
20 Jun 2020
i
ISSN
2090-5904
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Acceptance Rate
Not provided
i
Frequency
Not provided
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
unsrt
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Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker. “Specular andreev reflection in graphene”. Phys. Rev. Lett., vol. 97, no. 6, 067007, 2006.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1155/2007/60803
The Temporal Dynamics Model of Emotional Memory Processing: A Synthesis on the Neurobiological Basis of Stress-Induced Amnesia, Flashbulb and Traumatic Memories, and the Yerkes-Dodson Law
28 Mar 2007 - Neural Plasticity

Abstract:

We have reviewed research on the effects of stress on LTP in the hippocampus, amygdala and prefrontal cortex (PFC) and present new findings which provide insight into how the attention and memory-related functions of these structures are influenced by strong emotionality. We have incorporated the stress-LTP findings into our ... We have reviewed research on the effects of stress on LTP in the hippocampus, amygdala and prefrontal cortex (PFC) and present new findings which provide insight into how the attention and memory-related functions of these structures are influenced by strong emotionality. We have incorporated the stress-LTP findings into our “temporal dynamics” model, which provides a framework for understanding the neurobiological basis of flashbulb and traumatic memories, as well as stress-induced amnesia. An important feature of the model is the idea that endogenous mechanisms of plasticity in the hippocampus and amygdala are rapidly activated for a relatively short period of time by a strong emotional learning experience. Following this activational period, both structures undergo a state in which the induction of new plasticity is suppressed, which facilitates the memory consolidation process. We further propose that with the onset of strong emotionality, the hippocampus rapidly shifts from a “configural/cognitive map” mode to a “flashbulb memory” mode, which underlies the long-lasting, but fragmented, nature of traumatic memories. Finally, we have speculated on the significance of stress-LTP interactions in the context of the Yerkes-Dodson Law, a well-cited, but misunderstood, century-old principle which states that the relationship between arousal and behavioral performance can be linear or curvilinear, depending on the difficulty of the task. read more read less

Topics:

Flashbulb memory (61%)61% related to the paper, Memory consolidation (60%)60% related to the paper, Source amnesia (59%)59% related to the paper, Episodic memory (58%)58% related to the paper, Traumatic memories (58%)58% related to the paper
View PDF
657 Citations
open accessOpen access Journal Article DOI: 10.1155/2007/78970
Stress and memory: behavioral effects and neurobiological mechanisms.
Carmen Sandi1, M. Teresa Pinelo-Nava
12 Apr 2007 - Neural Plasticity

Abstract:

Stress is a potent modulator of learning and memory processes. Although there have been a few attempts in the literature to explain the diversity of effects (including facilitating, impairing, and lack of effects) described for the impact of stress on memory function according to single classification criterion, they have pro... Stress is a potent modulator of learning and memory processes. Although there have been a few attempts in the literature to explain the diversity of effects (including facilitating, impairing, and lack of effects) described for the impact of stress on memory function according to single classification criterion, they have proved insufficient to explain the whole complexity of effects. Here, we review the literature in the field of stress and memory interactions according to five selected classifying factors (source of stress, stressor duration, stressor intensity, stressor timing with regard to memory phase, and learning type) in an attempt to develop an integrative model to understand how stress affects memory function. Summarizing on those conditions in which there was enough information, we conclude that high stress levels, whether intrinsic (triggered by the cognitive challenge) or extrinsic (induced by conditions completely unrelated to the cognitive task), tend to facilitate Pavlovian conditioning (in a linear-asymptotic manner), while being deleterious for spatial/explicit information processing (which with regard to intrinsic stress levels follows an inverted U-shape effect). Moreover, after reviewing the literature, we conclude that all selected factors are essential to develop an integrative model that defines the outcome of stress effects in memory processes. In parallel, we provide a brief review of the main neurobiological mechanisms proposed to account for the different effects of stress in memory function. Glucocorticoids were found as a common mediating mechanism for both the facilitating and impairing actions of stress in different memory processes and phases. Among the brain regions implicated, the hippocampus, amygdala, and prefrontal cortex were highlighted as critical for the mediation of stress effects. read more read less

Topics:

Stressor (54%)54% related to the paper, Cognition (51%)51% related to the paper, Mechanism (biology) (50%)50% related to the paper
View PDF
556 Citations
open accessOpen access Journal Article DOI: 10.1155/2017/6871089
The Role of Neural Plasticity in Depression: From Hippocampus to Prefrontal Cortex.
Wei Liu1, Tongtong Ge1, Yashu Leng1, Zhenxiang Pan1, Jie Fan1, Wei Yang1, Ranji Cui1
26 Jan 2017 - Neural Plasticity

Abstract:

Neural plasticity, a fundamental mechanism of neuronal adaptation, is disrupted in depression. The changes in neural plasticity induced by stress and other negative stimuli play a significant role in the onset and development of depression. Antidepressant treatments have also been found to exert their antidepressant effects t... Neural plasticity, a fundamental mechanism of neuronal adaptation, is disrupted in depression. The changes in neural plasticity induced by stress and other negative stimuli play a significant role in the onset and development of depression. Antidepressant treatments have also been found to exert their antidepressant effects through regulatory effects on neural plasticity. However, the detailed mechanisms of neural plasticity in depression still remain unclear. Therefore, in this review, we summarize the recent literature to elaborate the possible mechanistic role of neural plasticity in depression. Taken together, these findings may pave the way for future progress in neural plasticity studies. read more read less

Topics:

Developmental plasticity (64%)64% related to the paper, Metaplasticity (64%)64% related to the paper, Neuroplasticity (53%)53% related to the paper
View PDF
388 Citations
open accessOpen access Journal Article DOI: 10.1155/NP.2003.107
The Basal Ganglia and Motor Control
Henk J. Groenewegen1
01 Jan 2003 - Neural Plasticity

Abstract:

This paper briefly reviews the functional anatomy of the basal ganglia and their relationships with the thalamocortical system. The basal ganglia, including the striatum, pallidum, subthalamic nucleus, and substantia nigra, are involved in a number of parallel, functionally segregated cortical-subcortical circuits. These circ... This paper briefly reviews the functional anatomy of the basal ganglia and their relationships with the thalamocortical system. The basal ganglia, including the striatum, pallidum, subthalamic nucleus, and substantia nigra, are involved in a number of parallel, functionally segregated cortical-subcortical circuits. These circuits support a wide range of sensorimotor, cognitive and emotional-motivational brain functions. A main role of the basal ganglia is the learning and selection of the most appropriate motor or behavioral programs. The internal functional organization of the basal ganglia is very well suited for such selection mechanisms, both in development and in adulthood. The question of whether clumsiness may be, at least in part, attributed to dysfunction of the basal ganglia is discussed in the context of the differential, complementary, or interactive roles of the basal ganglia and the cerebellum in the development of motor control. read more read less

Topics:

Basal ganglia (65%)65% related to the paper, Indirect pathway of movement (65%)65% related to the paper, Subthalamic nucleus (64%)64% related to the paper, Substantia nigra (55%)55% related to the paper, Striatum (53%)53% related to the paper
View PDF
385 Citations
open accessOpen access Journal Article DOI: 10.1155/2008/381243
What does the anatomical organization of the entorhinal cortex tell us
Cathrin B. Canto1, Floris G. Wouterlood, Menno P. Witter
28 Aug 2008 - Neural Plasticity

Abstract:

The entorhinal cortex is commonly perceived as a major input and output structure of the hippocampal formation, entertaining the role of the nodal point of cortico-hippocampal circuits. Superficial layers receive convergent cortical information, which is relayed to structures in the hippocampus, and hippocampal output reaches... The entorhinal cortex is commonly perceived as a major input and output structure of the hippocampal formation, entertaining the role of the nodal point of cortico-hippocampal circuits. Superficial layers receive convergent cortical information, which is relayed to structures in the hippocampus, and hippocampal output reaches deep layers of entorhinal cortex, that project back to the cortex. The finding of the grid cells in all layers and reports on interactions between deep and superficial layers indicate that this rather simplistic perception may be at fault. Therefore, an integrative approach on the entorhinal cortex, that takes into account recent additions to our knowledge database on entorhinal connectivity, is timely. We argue that layers in entorhinal cortex show different functional characteristics most likely not on the basis of strikingly different inputs or outputs, but much more likely on the basis of differences in intrinsic organization, combined with very specific sets of inputs. Here, we aim to summarize recent anatomical data supporting the notion that the traditional description of the entorhinal cortex as a layered input-output structure for the hippocampal formation does not give the deserved credit to what this structure might be contributing to the overall functions of cortico-hippocampal networks. read more read less

Topics:

Entorhinal cortex (66%)66% related to the paper, Cortex (anatomy) (57%)57% related to the paper, Hippocampal formation (56%)56% related to the paper, Hippocampus (51%)51% related to the paper
View PDF
376 Citations
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Frequently asked questions

1. Can I write Neural Plasticity in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Neural Plasticity guidelines and auto format it.

2. Do you follow the Neural Plasticity guidelines?

Yes, the template is compliant with the Neural Plasticity guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Neural Plasticity?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Neural Plasticity citation style.

4. Can I use the Neural Plasticity templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Neural Plasticity.

5. Can I use a manuscript in Neural Plasticity that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Neural Plasticity that you can download at the end.

6. How long does it usually take you to format my papers in Neural Plasticity?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Neural Plasticity.

7. Where can I find the template for the Neural Plasticity?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Neural Plasticity's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Neural Plasticity's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Neural Plasticity an online tool or is there a desktop version?

SciSpace's Neural Plasticity is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Neural Plasticity?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Neural Plasticity?”

11. What is the output that I would get after using Neural Plasticity?

After writing your paper autoformatting in Neural Plasticity, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Neural Plasticity's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Neural Plasticity?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Neural Plasticity. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Neural Plasticity?

The 5 most common citation types in order of usage for Neural Plasticity are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Neural Plasticity?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Neural Plasticity's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Neural Plasticity in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Neural Plasticity Endnote style according to Elsevier guidelines.

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