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Real-World-Time Simulation of Memory Consolidation in a Large-Scale Cerebellar Model

Overview of attention for article published in Frontiers in Neuroanatomy, March 2016
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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3 X users

Citations

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Title
Real-World-Time Simulation of Memory Consolidation in a Large-Scale Cerebellar Model
Published in
Frontiers in Neuroanatomy, March 2016
DOI 10.3389/fnana.2016.00021
Pubmed ID
Authors

Masato Gosui, Tadashi Yamazaki

Abstract

We report development of a large-scale spiking network model of the cerebellum composed of more than 1 million neurons. The model is implemented on graphics processing units (GPUs), which are dedicated hardware for parallel computing. Using 4 GPUs simultaneously, we achieve realtime simulation, in which computer simulation of cerebellar activity for 1 s completes within 1 s in the real-world time, with temporal resolution of 1 ms. This allows us to carry out a very long-term computer simulation of cerebellar activity in a practical time with millisecond temporal resolution. Using the model, we carry out computer simulation of long-term gain adaptation of optokinetic response (OKR) eye movements for 5 days aimed to study the neural mechanisms of posttraining memory consolidation. The simulation results are consistent with animal experiments and our theory of posttraining memory consolidation. These results suggest that realtime computing provides a useful means to study a very slow neural process such as memory consolidation in the brain.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 28%
Student > Ph. D. Student 6 24%
Student > Master 4 16%
Student > Bachelor 2 8%
Student > Postgraduate 2 8%
Other 2 8%
Unknown 2 8%
Readers by discipline Count As %
Neuroscience 7 28%
Agricultural and Biological Sciences 6 24%
Psychology 2 8%
Engineering 2 8%
Economics, Econometrics and Finance 1 4%
Other 5 20%
Unknown 2 8%
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 25 May 2016.
All research outputs
#13,459,901
of 22,851,489 outputs
Outputs from Frontiers in Neuroanatomy
#573
of 1,161 outputs
Outputs of similar age
#143,506
of 298,618 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#16
of 43 outputs
Altmetric has tracked 22,851,489 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 1,161 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 48th percentile – i.e., 48% 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 298,618 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 43 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 58% of its contemporaries.