A population of gap junction-coupled neurons drives recurrent network activity in a developing visual circuit Article Swipe
Zhenyu Liu
,
Christopher M. Ciarleglio
,
Ali S. Hamodi
,
Carlos D. Aizenman
,
Kara G. Pratt
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1152/jn.01046.2015
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1152/jn.01046.2015
In many regions of the vertebrate brain, microcircuits generate local recurrent activity that aids in the processing and encoding of incoming afferent inputs. Local recurrent activity can amplify, filter, and temporally and spatially parse out incoming input. Determining how these microcircuits function is of great interest because it provides glimpses into fundamental processes underlying brain computation. Within the Xenopus tadpole optic tectum, deep layer neurons display robust recurrent activity. Although the development and plasticity of this local recurrent activity has been well described, the underlying microcircuitry is not well understood. Here, using a whole brain preparation that allows for whole cell recording from neurons of the superficial tectal layers, we identified a physiologically distinct population of excitatory neurons that are gap junctionally coupled and through this coupling gate local recurrent network activity. Our findings provide a novel role for neuronal coupling among excitatory interneurons in the temporal processing of visual stimuli.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1152/jn.01046.2015
- OA Status
- green
- Cited By
- 9
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2234536555
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2234536555Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1152/jn.01046.2015Digital Object Identifier
- Title
-
A population of gap junction-coupled neurons drives recurrent network activity in a developing visual circuitWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-01-14Full publication date if available
- Authors
-
Zhenyu Liu, Christopher M. Ciarleglio, Ali S. Hamodi, Carlos D. Aizenman, Kara G. PrattList of authors in order
- Landing page
-
https://doi.org/10.1152/jn.01046.2015Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1152/jn.01046.2015Direct OA link when available
- Concepts
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Neuroscience, Excitatory postsynaptic potential, Gap junction, Population, Coupling (piping), Premovement neuronal activity, Nerve net, Biology, Computer science, Inhibitory postsynaptic potential, Engineering, Sociology, Demography, Cell biology, Mechanical engineering, IntracellularTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2019: 3, 2018: 1, 2016: 3Per-year citation counts (last 5 years)
- References (count)
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37Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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