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A Reward-Based Behavioral Platform to Measure Neural Activity during Head-Fixed Behavior

Overview of attention for article published in Frontiers in Cellular Neuroscience, May 2017
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
A Reward-Based Behavioral Platform to Measure Neural Activity during Head-Fixed Behavior
Published in
Frontiers in Cellular Neuroscience, May 2017
DOI 10.3389/fncel.2017.00156
Pubmed ID
Authors

Andrew H. Micallef, Naoya Takahashi, Matthew E. Larkum, Lucy M. Palmer

Abstract

Understanding the neural computations that contribute to behavior requires recording from neurons while an animal is behaving. This is not an easy task as most subcellular recording techniques require absolute head stability. The Go/No-Go sensory task is a powerful decision-driven task that enables an animal to report a binary decision during head-fixation. Here we discuss how to set up an Ardunio and Python based platform system to control a Go/No-Go sensory behavior paradigm. Using an Arduino micro-controller and Python-based custom written program, a reward can be delivered to the animal depending on the decision reported. We discuss the various components required to build the behavioral apparatus that can control and report such a sensory stimulus paradigm. This system enables the end user to control the behavioral testing in real-time and therefore it provides a strong custom-made platform for probing the neural basis of behavior.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 85 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Researcher 17 20%
Student > Bachelor 10 12%
Student > Master 9 10%
Student > Doctoral Student 5 6%
Other 11 13%
Unknown 16 19%
Readers by discipline Count As %
Neuroscience 40 47%
Agricultural and Biological Sciences 15 17%
Psychology 6 7%
Biochemistry, Genetics and Molecular Biology 2 2%
Engineering 2 2%
Other 2 2%
Unknown 19 22%
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 19 June 2017.
All research outputs
#13,555,965
of 22,977,819 outputs
Outputs from Frontiers in Cellular Neuroscience
#1,883
of 4,263 outputs
Outputs of similar age
#161,429
of 316,427 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#41
of 105 outputs
Altmetric has tracked 22,977,819 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 4,263 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 53% 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 316,427 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 105 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 54% of its contemporaries.