Example of Frontiers in Neural Circuits format
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Example of Frontiers in Neural Circuits format Example of Frontiers in Neural Circuits format Example of Frontiers in Neural Circuits format Example of Frontiers in Neural Circuits format Example of Frontiers in Neural Circuits format Example of Frontiers in Neural Circuits format Example of Frontiers in Neural Circuits format
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Example of Frontiers in Neural Circuits format Example of Frontiers in Neural Circuits format Example of Frontiers in Neural Circuits format Example of Frontiers in Neural Circuits format Example of Frontiers in Neural Circuits format Example of Frontiers in Neural Circuits format Example of Frontiers in Neural Circuits format
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open access Open Access

Frontiers in Neural Circuits — Template for authors

Publisher: Frontiers Media
Categories Rank Trend in last 3 yrs
Sensory Systems #7 of 40 -
Neuroscience (miscellaneous) #6 of 24 up up by 2 ranks
Cognitive Neuroscience #28 of 96 -
Cellular and Molecular Neuroscience #44 of 88 down down by 6 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 377 Published Papers | 2154 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 11/06/2020
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Related Journals

open access Open Access

Frontiers Media

Quality:  
Good
CiteRatio: 4.8
SJR: 1.65
SNIP: 0.99
open access Open Access

Frontiers Media

Quality:  
Medium
CiteRatio: 3.6
SJR: 1.035
SNIP: 0.971
open access Open Access

Springer

Quality:  
Medium
CiteRatio: 3.3
SJR: 0.666
SNIP: 0.698
open access Open Access

Frontiers Media

Quality:  
High
CiteRatio: 6.0
SJR: 1.959
SNIP: 1.174

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.

3.156

2% from 2018

Impact factor for Frontiers in Neural Circuits from 2016 - 2019
Year Value
2019 3.156
2018 3.101
2017 3.131
2016 3.005
graph view Graph view
table view Table view

5.7

3% from 2019

CiteRatio for Frontiers in Neural Circuits from 2016 - 2020
Year Value
2020 5.7
2019 5.9
2018 4.9
2017 5.8
2016 7.4
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 2% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 3% 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.

2.036

7% from 2019

SJR for Frontiers in Neural Circuits from 2016 - 2020
Year Value
2020 2.036
2019 1.909
2018 1.934
2017 2.175
2016 2.31
graph view Graph view
table view Table view

1.066

10% from 2019

SNIP for Frontiers in Neural Circuits from 2016 - 2020
Year Value
2020 1.066
2019 0.973
2018 0.885
2017 0.957
2016 0.967
graph view Graph view
table view Table view

insights Insights

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

insights Insights

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

Frontiers in Neural Circuits

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Frontiers Media

Frontiers in Neural Circuits

Frontiers in Neural Circuits is a first-tier electronic journal devoted to understanding the emergent properties of neural circuits, which constitute the elementary modules of the brain. The connectivity matrixes forming these circuits are still poorly understood, and the gene...... Read More

Neuroscience

i
Last updated on
11 Jun 2020
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ISSN
1662-5110
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Impact Factor
Medium - 0.594
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
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Bibliography Name
frontiersinSCNS_ENG_HUMS
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Citation Type
Numbered
[25]
i
Bibliography Example
Blonder GE, Tinkham M, Klapwijk TM. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys. Rev. B 25 (1982) 4515–4532.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.3389/NEURO.04.005.2009
Eight different types of dopaminergic neurons innervate the Drosophila mushroom body neuropil: anatomical and physiological heterogeneity.
Zhengmei Mao1, Ronald L. Davis1

Abstract:

We examined tyrosine hydroxylase (TH-GAL4) expression and anti-TH immunoreactivity in the Drosophila protocerebrum and characterized single cell clones of the TH-GAL4 neurons Eight clusters of putative dopaminergic neurons were characterized Neurons in three of the clusters project to the mushroom body neuropil: PAM neurons p... We examined tyrosine hydroxylase (TH-GAL4) expression and anti-TH immunoreactivity in the Drosophila protocerebrum and characterized single cell clones of the TH-GAL4 neurons Eight clusters of putative dopaminergic neurons were characterized Neurons in three of the clusters project to the mushroom body neuropil: PAM neurons project to the medial portion of the horizontal lobes; PPL1 neurons project to the vertical lobes, the junction area, the heel and distal peduncle; and PPL2ab neurons project to the calyx Five types of PPL1 neurons were discovered that innervate different zones of the mushroom body lobes Functional imaging experiments showed that the dopaminergic processes in four of the zones differ in response properties to odor, electric shock, or following the pairing of odor and electric shock These results indicate that distinct dopaminergic neurons define separate zones of the mushroom body lobes and are probably involved in different functions Differences in functional response properties of these neurons suggest that they are involved in different behavioral processes read more read less

Topics:

Neuropil (56%)56% related to the paper, Mushroom bodies (53%)53% related to the paper, Dopaminergic (51%)51% related to the paper
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451 Citations
open accessOpen access Journal Article DOI: 10.3389/FNCIR.2014.00076
Anatomical characterization of Cre driver mice for neural circuit mapping and manipulation

Abstract:

Significant advances in circuit-level analyses of the brain require tools that allow for labeling, modulation of gene expression, and monitoring and manipulation of cellular activity in specific cell types and/or anatomical regions. Large-scale projects and individual laboratories have produced hundreds of gene-specific promo... Significant advances in circuit-level analyses of the brain require tools that allow for labeling, modulation of gene expression, and monitoring and manipulation of cellular activity in specific cell types and/or anatomical regions. Large-scale projects and individual laboratories have produced hundreds of gene-specific promoter-driven Cre mouse lines invaluable for enabling genetic access to subpopulations of cells in the brain. However, the potential utility of each line may not be fully realized without systematic whole brain characterization of transgene expression patterns. We established a high-throughput in situ hybridization, imaging and data processing pipeline to describe whole brain gene expression patterns in Cre driver mice. Currently, anatomical data from over 100 Cre driver lines are publicly available via the Allen Institute’s Transgenic Characterization database, which can be used to assist researchers in choosing the appropriate Cre drivers for functional, molecular, or connectional studies of different regions and/or cell types in the brain. read more read less
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376 Citations
open accessOpen access Journal Article DOI: 10.3389/NEURO.04.005.2008
SLM Microscopy: Scanless Two-Photon Imaging and Photostimulation with Spatial Light Modulators.
Volodymyr Nikolenko1, Brendon O. Watson1, Roberto Araya1, Alan Woodruff1, Darcy S. Peterka1, Rafael Yuste1

Abstract:

Laser microscopy has generally poor temporal resolution, caused by the serial scanning of each pixel. This is a significant problem for imaging or optically manipulating neural circuits, since neuronal activity is fast. To help surmount this limitation, we have developed a “scanless” microscope that does not contain mechanica... Laser microscopy has generally poor temporal resolution, caused by the serial scanning of each pixel. This is a significant problem for imaging or optically manipulating neural circuits, since neuronal activity is fast. To help surmount this limitation, we have developed a “scanless” microscope that does not contain mechanically moving parts. This microscope uses a diffractive spatial light modulator (SLM) to shape an incoming two-photon laser beam into any arbitrary light pattern. This allows the simultaneous imaging or photostimulation of different regions of a sample with three-dimensional precision. To demonstrate the usefulness of this microscope, we perform two-photon uncaging of glutamate to activate dendritic spines and cortical neurons in brain slices. We also use it to carry out fast (60 Hz) two-photon calcium imaging of action potentials in neuronal populations. Thus, SLM microscopy appears to be a powerful tool for imaging and optically manipulating neurons and neuronal circuits. Moreover, the use of SLMs expands the flexibility of laser microscopy, as it can substitute traditional simple fixed lenses with any calculated lens function. read more read less

Topics:

Microscope (55%)55% related to the paper, Two-photon excitation microscopy (55%)55% related to the paper, Microscopy (55%)55% related to the paper, Spatial light modulator (55%)55% related to the paper, Photostimulation (54%)54% related to the paper
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365 Citations
open accessOpen access Journal Article DOI: 10.3389/FNCIR.2018.00037
PV Interneurons: Critical Regulators of E/I Balance for Prefrontal Cortex-Dependent Behavior and Psychiatric Disorders.
Brielle R. Ferguson1, Wen-Jun Gao1

Abstract:

Elucidating the prefrontal cortical microcircuit has been challenging, given its role in multiple complex behaviors, including working memory, cognitive flexibility, attention, social interaction and emotional regulation. Additionally, previous methodological limitations made it difficult to parse out the contribution of cert... Elucidating the prefrontal cortical microcircuit has been challenging, given its role in multiple complex behaviors, including working memory, cognitive flexibility, attention, social interaction and emotional regulation. Additionally, previous methodological limitations made it difficult to parse out the contribution of certain neuronal subpopulations in refining cortical representations. However, growing evidence supports a fundamental role of fast-spiking parvalbumin (PV) GABAergic interneurons in regulating pyramidal neuron activity to drive appropriate behavioral responses. Further, their function is heavily diminished in the prefrontal cortex (PFC) in numerous psychiatric diseases, including schizophrenia and autism. Previous research has demonstrated the importance of the optimal balance of excitation and inhibition (E/I) in cortical circuits in maintaining the efficiency of cortical information processing. Although we are still unraveling the mechanisms of information representation in the PFC, the E/I balance seems to be crucial, as pharmacological, chemogenetic and optogenetic approaches for disrupting E/I balance induce impairments in a range of PFC-dependent behaviors. In this review, we will explore two key hypotheses. First, PV interneurons are powerful regulators of E/I balance in the PFC, and help optimize the representation and processing of supramodal information in PFC. Second, diminishing the function of PV interneurons is sufficient to generate an elaborate symptom sequelae corresponding to those observed in a range of psychiatric diseases. Then, using this framework, we will speculate on whether this circuitry could represent a platform for the development of therapeutic interventions in disorders of PFC function. read more read less

Topics:

Prefrontal cortex (55%)55% related to the paper, Working memory (52%)52% related to the paper, Cognitive flexibility (51%)51% related to the paper
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355 Citations
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Frontiers in Neural Circuits format uses frontiersinSCNS_ENG_HUMS citation style.

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Frequently asked questions

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

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 Frontiers in Neural Circuits citation style.

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5. Can I use a manuscript in Frontiers in Neural Circuits 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 Frontiers in Neural Circuits that you can download at the end.

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

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13. What is Sherpa RoMEO Archiving Policy for Frontiers in Neural Circuits?

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 Frontiers in Neural Circuits. 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 Frontiers in Neural Circuits?

The 5 most common citation types in order of usage for Frontiers in Neural Circuits 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 Frontiers in Neural Circuits?

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16. Can I download Frontiers in Neural Circuits 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 Frontiers in Neural Circuits Endnote style according to Elsevier guidelines.

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