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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Decision-making and action selection in insects: inspiration from vertebrate-based theories
|
|---|---|
| Published in |
Frontiers in Behavioral Neuroscience, August 2015
|
| DOI | 10.3389/fnbeh.2015.00216 |
| Pubmed ID | |
| Authors |
Andrew B. Barron, Kevin N. Gurney, Lianne F. S. Meah, Eleni Vasilaki, James A. R. Marshall |
| Abstract |
Effective decision-making, one of the most crucial functions of the brain, entails the analysis of sensory information and the selection of appropriate behavior in response to stimuli. Here, we consider the current state of knowledge on the mechanisms of decision-making and action selection in the insect brain, with emphasis on the olfactory processing system. Theoretical and computational models of decision-making emphasize the importance of using inhibitory connections to couple evidence-accumulating pathways; this coupling allows for effective discrimination between competing alternatives and thus enables a decision maker to reach a stable unitary decision. Theory also shows that the coupling of pathways can be implemented using a variety of different mechanisms and vastly improves the performance of decision-making systems. The vertebrate basal ganglia appear to resolve stable action selection by being a point of convergence for multiple excitatory and inhibitory inputs such that only one possible response is selected and all other alternatives are suppressed. Similar principles appear to operate within the insect brain. The insect lateral protocerebrum (LP) serves as a point of convergence for multiple excitatory and inhibitory channels of olfactory information to effect stable decision and action selection, at least for olfactory information. The LP is a rather understudied region of the insect brain, yet this premotor region may be key to effective resolution of action section. We argue that it may be beneficial to use models developed to explore the operation of the vertebrate brain as inspiration when considering action selection in the invertebrate domain. Such an approach may facilitate the proposal of new hypotheses and furthermore frame experimental studies for how decision-making and action selection might be achieved in insects. |
X Demographics
The data shown below were collected from the profiles of 17 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 Kingdom | 5 | 29% |
| United States | 2 | 12% |
| Japan | 2 | 12% |
| Mexico | 2 | 12% |
| Switzerland | 2 | 12% |
| China | 1 | 6% |
| Canada | 1 | 6% |
| Unknown | 2 | 12% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 5 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Portugal | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 139 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 23% |
| Researcher | 26 | 18% |
| Student > Master | 15 | 11% |
| Student > Bachelor | 14 | 10% |
| Student > Postgraduate | 7 | 5% |
| Other | 20 | 14% |
| Unknown | 28 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 36 | 25% |
| Agricultural and Biological Sciences | 35 | 25% |
| Biochemistry, Genetics and Molecular Biology | 8 | 6% |
| Computer Science | 7 | 5% |
| Psychology | 6 | 4% |
| Other | 18 | 13% |
| Unknown | 32 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 26 September 2015.
All research outputs
#3,402,212
of 25,376,589 outputs
Outputs from Frontiers in Behavioral Neuroscience
#605
of 3,455 outputs
Outputs of similar age
#42,466
of 278,168 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#21
of 86 outputs
Altmetric has tracked 25,376,589 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 82% 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 278,168 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 84% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.