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Mendeley readers
Attention Score in Context
| Title |
Serendipitous Offline Learning in a Neuromorphic Robot
|
|---|---|
| Published in |
Frontiers in Neurorobotics, February 2016
|
| DOI | 10.3389/fnbot.2016.00001 |
| Pubmed ID | |
| Authors |
Terrence C. Stewart, Ashley Kleinhans, Andrew Mundy, Jörg Conradt |
| Abstract |
We demonstrate a hybrid neuromorphic learning paradigm that learns complex sensorimotor mappings based on a small set of hard-coded reflex behaviors. A mobile robot is first controlled by a basic set of reflexive hand-designed behaviors. All sensor data is provided via a spike-based silicon retina camera (eDVS), and all control is implemented via spiking neurons simulated on neuromorphic hardware (SpiNNaker). Given this control system, the robot is capable of simple obstacle avoidance and random exploration. To train the robot to perform more complex tasks, we observe the robot and find instances where the robot accidentally performs the desired action. Data recorded from the robot during these times is then used to update the neural control system, increasing the likelihood of the robot performing that task in the future, given a similar sensor state. As an example application of this general-purpose method of training, we demonstrate the robot learning to respond to novel sensory stimuli (a mirror) by turning right if it is present at an intersection, and otherwise turning left. In general, this system can learn arbitrary relations between sensory input and motor behavior. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 23% |
| Student > Master | 11 | 23% |
| Researcher | 6 | 13% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Other | 3 | 6% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 32% |
| Computer Science | 11 | 23% |
| Neuroscience | 4 | 9% |
| Social Sciences | 3 | 6% |
| Business, Management and Accounting | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 9 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 March 2017.
All research outputs
#14,186,589
of 22,849,304 outputs
Outputs from Frontiers in Neurorobotics
#330
of 862 outputs
Outputs of similar age
#210,924
of 403,162 outputs
Outputs of similar age from Frontiers in Neurorobotics
#1
of 2 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 862 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 59% 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 403,162 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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