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Attention Score in Context
| Title |
Versatile networks of simulated spiking neurons displaying winner-take-all behavior
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2013
|
| DOI | 10.3389/fncom.2013.00016 |
| Pubmed ID | |
| Authors |
Yanqing Chen, Jeffrey L. McKinstry, Gerald M. Edelman |
| Abstract |
We describe simulations of large-scale networks of excitatory and inhibitory spiking neurons that can generate dynamically stable winner-take-all (WTA) behavior. The network connectivity is a variant of center-surround architecture that we call center-annular-surround (CAS). In this architecture each neuron is excited by nearby neighbors and inhibited by more distant neighbors in an annular-surround region. The neural units of these networks simulate conductance-based spiking neurons that interact via mechanisms susceptible to both short-term synaptic plasticity and STDP. We show that such CAS networks display robust WTA behavior unlike the center-surround networks and other control architectures that we have studied. We find that a large-scale network of spiking neurons with separate populations of excitatory and inhibitory neurons can give rise to smooth maps of sensory input. In addition, we show that a humanoid brain-based-device (BBD) under the control of a spiking WTA neural network can learn to reach to target positions in its visual field, thus demonstrating the acquisition of sensorimotor coordination. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Switzerland | 1 | 3% |
| Unknown | 32 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Researcher | 8 | 24% |
| Student > Bachelor | 4 | 12% |
| Professor > Associate Professor | 3 | 9% |
| Lecturer > Senior Lecturer | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 24% |
| Agricultural and Biological Sciences | 5 | 15% |
| Engineering | 5 | 15% |
| Neuroscience | 4 | 12% |
| Psychology | 3 | 9% |
| Other | 6 | 18% |
| Unknown | 3 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 April 2013.
All research outputs
#17,683,485
of 22,703,044 outputs
Outputs from Frontiers in Computational Neuroscience
#958
of 1,336 outputs
Outputs of similar age
#210,152
of 280,707 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#82
of 131 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,336 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 280,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.