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  Synaptic potentiation dependence on spike variability

Protachevicz, P. R., Santos, M. S., Souza, D. L. M., Bentivoglio, L. E., Gabrick, E. C., Borges, F. S., Abatti, P. J., Batista, A. M., Caldas, I. L., Kurths, J. (2026 online): Synaptic potentiation dependence on spike variability. - European Physical Journal - Special Topics.
https://doi.org/10.1140/epjs/s11734-026-02142-z

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Protachevicz_2026_s11734-026-02142-z.pdf (Publisher version), 3MB
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Protachevicz_2026_s11734-026-02142-z.pdf
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 Creators:
Protachevicz, Paulo R.1, Author           
Santos, M. S.2, Author
Souza, D. L. M.2, Author
Bentivoglio, L. E.2, Author
Gabrick, E. C.2, Author
Borges, F. S.2, Author
Abatti, P. J.2, Author
Batista, A. M.2, Author
Caldas, I. L.2, Author
Kurths, Jürgen1, Author           
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: Understanding how the brain modifies synaptic connections and how firing patterns influence this process remains a major challenge in neuroscience. Aiming to clarify this relationship, we consider all-to-all neuronal networks with spike timing-dependent plasticity (STDP) where neurons are connected through excitatory chemical synapses with weak initial synaptic weights. We analyze how spike variability within a phase-synchronous pattern affects synaptic potentiation between neurons. Considering different methodologies, we find that, depending on the variability of spike synchronization and firing frequency, the potentiation of neuronal connections generates predominant unidirectional or bidirectional topologies. In addition, we identify four types of triad structures that are induced in the network. Particularly, for a certain level of variability in phase synchronization, a non-trivial optimization of the mean potentiation per spike is observed. In these cases, the potentiation occurs at a higher rate due to the preferential formation of unidirectional connections. Overall, our results deepen the knowledge of how phase firing patterns drive the synaptic changes in neuronal networks in the presence of STDP.

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Language(s): eng - English
 Dates: 2026-02-06
 Publication Status: Published online
 Pages: 14
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1140/epjs/s11734-026-02142-z
MDB-ID: No MDB - stored outside PIK (see locators/paper)
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Health
Research topic keyword: Nonlinear Dynamics
OATYPE: Hybrid Open Access
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Title: European Physical Journal - Special Topics
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150617
Publisher: Springer