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Learning the Hodgkin-Huxley Model with Operator Learning Techniques

Learning the Hodgkin-Huxley Model with Operator Learning Techniques

4 June 2024
Edoardo Centofanti
Massimiliano Ghiotto
Luca Franco Pavarino
ArXiv (abs)PDFHTML

Papers citing "Learning the Hodgkin-Huxley Model with Operator Learning Techniques"

4 / 4 papers shown
NOBLE -- Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models
NOBLE -- Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models
Luca Ghafourpour
Valentin Duruisseaux
Bahareh Tolooshams
Philip H. Wong
Costas A. Anastassiou
A. Anandkumar
289
2
0
05 Jun 2025
Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators
Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators
Luca Pellegrini
Massimiliano Ghiotto
Edoardo Centofanti
Luca Franco Pavarino
327
1
0
20 May 2025
Learning cardiac activation and repolarization times with operator learning
Learning cardiac activation and repolarization times with operator learning
Edoardo Centofanti
Giovanni Ziarelli
N. Parolini
Simone Scacchi
M. Verani
Luca Franco Pavarino
AI4CE
169
0
0
13 May 2025
A model learning framework for inferring the dynamics of transmission
  rate depending on exogenous variables for epidemic forecasts
A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecastsComputer Methods in Applied Mechanics and Engineering (CMAME), 2024
Giovanni Ziarelli
S. Pagani
N. Parolini
Francesco Regazzoni
M. Verani
197
1
0
15 Oct 2024
1