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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture
|
|---|---|
| Published in |
Scientific Reports, June 2018
|
| DOI | 10.1038/s41598-018-27169-8 |
| Pubmed ID | |
| Authors |
Zohreh Gholami Doborjeh, Nikola Kasabov, Maryam Gholami Doborjeh, Alexander Sumich |
| Abstract |
Familiarity of marketing stimuli may affect consumer behaviour at a peri-perceptual processing level. The current study introduces a method for deep learning of electroencephalogram (EEG) data using a spiking neural network (SNN) approach that reveals the complexity of peri-perceptual processes of familiarity. The method is applied to data from 20 participants viewing familiar and unfamiliar logos. The results support the potential of SNN models as novel tools in the exploration of peri-perceptual mechanisms that respond differentially to familiar and unfamiliar stimuli. Specifically, the activation pattern of the time-locked response identified by the proposed SNN model at approximately 200 milliseconds post-stimulus suggests greater connectivity and more widespread dynamic spatio-temporal patterns for familiar than unfamiliar logos. The proposed SNN approach can be applied to study other peri-perceptual or perceptual brain processes in cognitive and computational neuroscience. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 25% |
| New Zealand | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 21% |
| Researcher | 10 | 11% |
| Student > Master | 9 | 10% |
| Student > Doctoral Student | 7 | 8% |
| Student > Postgraduate | 6 | 7% |
| Other | 13 | 15% |
| Unknown | 24 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 20% |
| Engineering | 9 | 10% |
| Psychology | 8 | 9% |
| Linguistics | 6 | 7% |
| Agricultural and Biological Sciences | 5 | 6% |
| Other | 15 | 17% |
| Unknown | 27 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 16 April 2024.
All research outputs
#4,900,508
of 25,732,188 outputs
Outputs from Scientific Reports
#38,269
of 142,685 outputs
Outputs of similar age
#86,764
of 342,466 outputs
Outputs of similar age from Scientific Reports
#1,052
of 3,572 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 142,685 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has gotten more attention than average, scoring higher than 73% 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 342,466 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 3,572 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.