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Neuronal adaptation, novelty detection and regularity encoding in audition

Overview of attention for article published in Frontiers in Systems Neuroscience, January 2014
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Title
Neuronal adaptation, novelty detection and regularity encoding in audition
Published in
Frontiers in Systems Neuroscience, January 2014
DOI 10.3389/fnsys.2014.00111
Pubmed ID
Authors

Manuel S. Malmierca, Maria V. Sanchez-Vives, Carles Escera, Alexandra Bendixen

Abstract

The ability to detect unexpected stimuli in the acoustic environment and determine their behavioral relevance to plan an appropriate reaction is critical for survival. This perspective article brings together several viewpoints and discusses current advances in understanding the mechanisms the auditory system implements to extract relevant information from incoming inputs and to identify unexpected events. This extraordinary sensitivity relies on the capacity to codify acoustic regularities, and is based on encoding properties that are present as early as the auditory midbrain. We review state-of-the-art studies on the processing of stimulus changes using non-invasive methods to record the summed electrical potentials in humans, and those that examine single-neuron responses in animal models. Human data will be based on mismatch negativity (MMN) and enhanced middle latency responses (MLR). Animal data will be based on the activity of single neurons at the cortical and subcortical levels, relating selective responses to novel stimuli to the MMN and to stimulus-specific neural adaptation (SSA). Theoretical models of the neural mechanisms that could create SSA and novelty responses will also be discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
France 2 2%
Germany 1 <1%
Spain 1 <1%
Sweden 1 <1%
Unknown 125 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 27%
Researcher 25 19%
Student > Master 18 14%
Student > Bachelor 12 9%
Student > Doctoral Student 6 5%
Other 20 15%
Unknown 16 12%
Readers by discipline Count As %
Neuroscience 43 33%
Agricultural and Biological Sciences 21 16%
Psychology 21 16%
Engineering 6 5%
Medicine and Dentistry 4 3%
Other 11 8%
Unknown 26 20%
Attention Score in Context

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 07 August 2014.
All research outputs
#13,456,215
of 22,844,985 outputs
Outputs from Frontiers in Systems Neuroscience
#754
of 1,344 outputs
Outputs of similar age
#163,548
of 305,581 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#14
of 24 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 41st percentile – i.e., 41% 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 305,581 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.