Author

E. Cataldo

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Bioengineering· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:statistical model· 1

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A. Mazzoni· 1 shared C. M. Oddo· 1 shared G. de Alteriis· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperBioengineering

A. Mazzoni

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1 paper

Recent·Most cited

Euler method can outperform more complex ODE solvers in the numerical implementation of the Izhikevich artificial Spiking Neuron Model given the allocated FLOPS

G. de Alteriis, E. Cataldo, A. Mazzoni, C. M. Oddo

The paper compares ODE solvers for the Izhikevich neuron model and finds that simpler methods like Euler can outperform complex ones like Runge-Kutta 4 under FLOPS constraints.

bioRxiv · Nov 30, 2021 · PreprintBioengineering