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February 9, 2026The European Physical Journal Special Topics0 citationsOpen Access

Synaptic potentiation dependence on spike variability

PPP. R. ProtacheviczMSM. S. SantosDSD. L. M. Souza

Key Points

  • This research investigates the relationship between spike variability and synaptic potentiation in neuronal networks.
  • Utilized all-to-all neuronal networks with spike timing-dependent plasticity (STDP)
  • Examined excitatory chemical synapses with weak initial weights
  • Analyzed effects of spike variability on synaptic connections
  • Identified triad structures formed within the network.
  • Spike variability leads to either unidirectional or bidirectional synaptic topology depending on synchronization and firing frequency.
  • Observed a non-trivial optimization of mean potentiation per spike at certain variability levels.
  • Higher rates of potentiation were noted due to preference for unidirectional connections.

Abstract

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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Cite This Study

Protachevicz et al. (2026) studied this question.

synapsesocial.com/papers/69897a35f0ec2af6756e88e4https://doi.org/10.1140/epjs/s11734-026-02142-z
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