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Coupling Resistive Switching Devices with Neurons: State of the Art and Perspectives

Overview of attention for article published in Frontiers in Neuroscience, February 2017
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Title
Coupling Resistive Switching Devices with Neurons: State of the Art and Perspectives
Published in
Frontiers in Neuroscience, February 2017
DOI 10.3389/fnins.2017.00070
Pubmed ID
Authors

Alessandro Chiolerio, Michela Chiappalone, Paolo Ariano, Sergio Bocchini

Abstract

Here we provide the state-of-the-art of bioelectronic interfacing between biological neuronal systems and artificial components, focusing the attention on the potentiality offered by intrinsically neuromorphic synthetic devices based on Resistive Switching (RS). Neuromorphic engineering is outside the scopes of this Perspective. Instead, our focus is on those materials and devices featuring genuine physical effects that could be sought as non-linearity, plasticity, excitation, and extinction which could be directly and more naturally coupled with living biological systems. In view of important applications, such as prosthetics and future life augmentation, a cybernetic parallelism is traced, between biological and artificial systems. We will discuss how such intrinsic features could reduce the complexity of conditioning networks for a more natural direct connection between biological and synthetic worlds. Putting together living systems with RS devices could represent a feasible though innovative perspective for the future of bionics.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 1%
Unknown 76 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 29%
Student > Ph. D. Student 12 16%
Student > Doctoral Student 9 12%
Student > Master 9 12%
Student > Postgraduate 2 3%
Other 6 8%
Unknown 17 22%
Readers by discipline Count As %
Engineering 17 22%
Materials Science 10 13%
Neuroscience 6 8%
Physics and Astronomy 5 6%
Agricultural and Biological Sciences 4 5%
Other 14 18%
Unknown 21 27%
Attention Score in Context

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 20 July 2021.
All research outputs
#17,289,387
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#8,070
of 11,542 outputs
Outputs of similar age
#284,080
of 448,866 outputs
Outputs of similar age from Frontiers in Neuroscience
#136
of 198 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 24th percentile – i.e., 24% 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 448,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.