Selected publications

• Tomko M, Benuskova L, Jedlicka P (2024) A voltage-based event-timing-dependent plasticity rule accounts for LTP subthreshold and suprathreshold for dendritic spikes in CA1 pyramidal neurons. Journal of Computational Neuroscience, 52, pp. 125–131. doi: 10.1007/s10827-024-00868-0. (Q2, IF=1,2)
• Tomko M, Benuskova L, Jedlicka P (2021) A new reduced-morphology model for CA1 pyramidal cells and its validation and comparison with other models using HippoUnit. Scientific Reports | Nature 11, 7615. doi: 10.1038/s41598-021-87002-7. (Q1, IF=4,38) Počet citácií: 8 (Google Scholar)
• Tomko M, Jedlicka P, Benuskova L (2020) Meta-STDP rule stabilizes synaptic weights under in vivo-like ongoing spontaneous activity in a computational model of CA1 pyramidal cell. In: Farkas I, Masulli P, Wermter S (eds) Artificial Neural Networks and Machine Learning – ICANN 2020. Springer, Lecture Notes in Computer Science, vol 12397, pp 670-680. (Q3, IF=1,27)
• Markosova M, Rudolf B, Nather P, Benuskova L (2020) Network models for changing degree distributions of functional brain networks. Neural Networks World , 30(5), pp. 309-332. (Q4, IF=1,02)
• Shirrafiardekani A, Frauendiener J, Moustafa AA, Benuskova L (2019) Computational examination of synaptic plasticity and metaplasticity in hippocampal dentate granule neurons. In: V. Cutsuridis, B.P. Graham, S. Cobb, I. Vida (Eds), Hippocampal Microcircuits: A Computational Modeler's Resource Book, 2nd Ed, Springer Nature Switzerland AG, pp. 701-737.

VUPCH

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