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Peer-reviewedCC BY 4.0Journal of Neuroscience Methods

The transfer function as a method to reduce morphological models into point-neuron models

  • Mikal Daou
  • Tihana Jovanic
  • Alain Destexhe
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Abstract

Building a simple model that precisely and functionally characterizes a neuron is a challenging and important task to select the best concise and computationally efficient model. However, this type of work has only been done for subthreshold properties of neurons.

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Cite

BibTeXRIS
BibTeX
@article{daou2026transfer,
  title = {{The transfer function as a method to reduce morphological models into point-neuron models}},
  author = {Mikal Daou and Tihana Jovanic and Alain Destexhe},
  journal = {Journal of Neuroscience Methods},
  year = {2026},
  month = sep,
  doi = {10.1016/j.jneumeth.2026.110899},
  url = {https://hal.science/hal-05753484v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - The transfer function as a method to reduce morphological models into point-neuron models
AU  - Mikal Daou
AU  - Tihana Jovanic
AU  - Alain Destexhe
PY  - 2026
DA  - 2026/09/10
JO  - Journal of Neuroscience Methods
DO  - 10.1016/j.jneumeth.2026.110899
UR  - https://hal.science/hal-05753484v1
AB  - Building a simple model that precisely and functionally characterizes a neuron is a challenging and important task to select the best concise and computationally efficient model. However, this type of work has only been done for subthreshold properties of neurons.
SN  - 0165-0270
SN  - 1872-678X
ER  -