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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Brian: a simulator for spiking neural networks in Python
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, November 2008
|
| DOI | 10.3389/neuro.11.005.2008 |
| Pubmed ID | |
| Authors |
Dan F M Goodman, Romain Brette |
| Abstract |
"Brian" is a new simulator for spiking neural networks, written in Python (http://brian. di.ens.fr). It is an intuitive and highly flexible tool for rapidly developing new models, especially networks of single-compartment neurons. In addition to using standard types of neuron models, users can define models by writing arbitrary differential equations in ordinary mathematical notation. Python scientific libraries can also be used for defining models and analysing data. Vectorisation techniques allow efficient simulations despite the overheads of an interpreted language. Brian will be especially valuable for working on non-standard neuron models not easily covered by existing software, and as an alternative to using Matlab or C for simulations. With its easy and intuitive syntax, Brian is also very well suited for teaching computational neuroscience. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 552 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 2% |
| United Kingdom | 11 | 2% |
| France | 8 | 1% |
| Germany | 8 | 1% |
| Netherlands | 7 | 1% |
| Finland | 3 | <1% |
| Canada | 3 | <1% |
| India | 2 | <1% |
| Switzerland | 1 | <1% |
| Other | 5 | <1% |
| Unknown | 491 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 148 | 27% |
| Researcher | 108 | 20% |
| Student > Master | 73 | 13% |
| Student > Bachelor | 37 | 7% |
| Student > Doctoral Student | 24 | 4% |
| Other | 85 | 15% |
| Unknown | 77 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 128 | 23% |
| Computer Science | 105 | 19% |
| Agricultural and Biological Sciences | 78 | 14% |
| Neuroscience | 60 | 11% |
| Physics and Astronomy | 32 | 6% |
| Other | 55 | 10% |
| Unknown | 94 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 June 2021.
All research outputs
#3,722,734
of 25,837,817 outputs
Outputs from Frontiers in Neuroinformatics
#182
of 849 outputs
Outputs of similar age
#17,759
of 185,752 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#1
of 1 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 849 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 185,752 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them