Coexistence of asynchronous and clustered dynamics in noisy inhibitory neural networks Article Swipe
Yannick Feld
,
Alexander K. Hartmann
,
Alessandro Torcini
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.02.13.580163
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.02.13.580163
A regime of coexistence of asynchronous and clustered dynamics is analyzed for globally coupled homogeneous and heterogeneous inhibitory networks of quadratic integrate-and-fire (QIF) neurons subject to Gaussian noise. The analysis is based on accurate extensive simulations and complemented by a mean-field description in terms of low-dimensional next generation neural mass models for heterogeneously distributed synaptic couplings. The asynchronous regime is observable at low noise and becomes unstable via a sub-critical Hopf bifurcation at sufficiently large noise. This gives rise to a coexistence region between the asynchronous and the clustered regime. The clustered phase is characterized by population bursts in the γ -range (30-120 Hz), where neurons are split in two equally populated clusters firing in alternation. This clustering behaviour is quite peculiar: despite the global activity being essentially periodic, single neurons display switching between the two clusters due to heterogeneity and/or noise.
Related Topics
Concepts
Asynchronous communication
Statistical physics
Noise (video)
Bifurcation
Population
Gaussian
Alternation (linguistics)
Observable
Computer science
Quadratic equation
Inhibitory postsynaptic potential
Physics
Topology (electrical circuits)
Mathematics
Neuroscience
Biology
Artificial intelligence
Demography
Sociology
Geometry
Computer network
Combinatorics
Linguistics
Quantum mechanics
Image (mathematics)
Nonlinear system
Philosophy
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.02.13.580163
- https://www.biorxiv.org/content/biorxiv/early/2024/02/14/2024.02.13.580163.full.pdf
- OA Status
- green
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391823819
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391823819Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2024.02.13.580163Digital Object Identifier
- Title
-
Coexistence of asynchronous and clustered dynamics in noisy inhibitory neural networksWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-14Full publication date if available
- Authors
-
Yannick Feld, Alexander K. Hartmann, Alessandro TorciniList of authors in order
- Landing page
-
https://doi.org/10.1101/2024.02.13.580163Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2024/02/14/2024.02.13.580163.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2024/02/14/2024.02.13.580163.full.pdfDirect OA link when available
- Concepts
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Asynchronous communication, Statistical physics, Noise (video), Bifurcation, Population, Gaussian, Alternation (linguistics), Observable, Computer science, Quadratic equation, Inhibitory postsynaptic potential, Physics, Topology (electrical circuits), Mathematics, Neuroscience, Biology, Artificial intelligence, Demography, Sociology, Geometry, Computer network, Combinatorics, Linguistics, Quantum mechanics, Image (mathematics), Nonlinear system, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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40Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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