Abstract
We study the effects brought about by adding frustration to the plastic Kuramoto model of neurons; i.e. we simulate for the first time the plastic Kuramoto–Sakaguchi model, in which the nonlocal coupling matrix for the phases is determined from the spike-timing-dependent plasticity rule. We find that frustration leads to the birhythmicity of the synchronous states. The multistability in the dynamics, with frustration as its crucial element, results in hysteresis, even when the learning rule is symmetric. Fine structure in the hysteresis loop reflects the complexity of the underlying energy landscape. A pacemaker is used to probe this landscape. As the neurons spontaneously self-organise, memory is formed by the configuration of synaptic strengths embodied in such synchronous states. We thus have a simple model of synaptic memory.
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Acknowledgements
M. A. wishes to thank Morad Biagooi for his kindness in providing access to computational facilities. M. R. K. is grateful to Yury Shukrinov for early discussions on birhythmicity. A. E. B. acknowledges that this work was supported by the National Research Foundation of South Africa (Grant Number 119186).
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Appendix: The two-oscillator model
Appendix: The two-oscillator model
We show analytically, how the bistability in the two-oscillator model comes about. For the two-oscillator model we have \(N=2\) and \(n=1\) in Eqs. (1–3), giving
Now, for a synchronous state, we require \(\dot{\theta }_{1}=\dot{\theta }_{2}\). By subtracting Eq. (6) from Eq. (5), we then find
where we have written \(\Delta \omega =\omega _{1}-\omega _{2}\).
If \(\theta _{1}\) leads, we have \(\Delta \theta _{12}=\theta _{2}-\theta _{1}<0\) and \(\Delta \theta _{21}=-\Delta \theta _{12}>0\). Thus, from Eqs. (2, 3), we find
Since \(\Delta \theta _{12}\) is constant for the synchronous solution, the last two equations are decoupled and can be solved analytically. Their steady state solution gives \( c_{12}=0 \) and \( c_{21}=\alpha \). Substituting these coupling constants back into Eq. (7), then gives
Similarly, if \(\theta _{2}\) leads, we find
The intercepts with \(\Delta \theta \) in Fig. 4 occur at \(\sigma \), and \(-\sigma \); for \(\Delta \omega \), they are at \(-\alpha \sin (\sigma )\), and \(\alpha \sin (\sigma )\). The role of frustration is thus clear. If \(|\Delta \omega |\le \alpha \sin \sigma \), two stable solutions exist, and the system moves between them as the sign of \(\Delta \theta \) changes. The bistability is illustrated in Fig. 7.
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Ansariara, M., Emadi, S., Adami, V. et al. Signs of memory in a plastic frustrated Kuramoto model of neurons. Nonlinear Dyn 100, 3685–3694 (2020). https://doi.org/10.1007/s11071-020-05705-4
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DOI: https://doi.org/10.1007/s11071-020-05705-4