Parameters estimation in spiking neural networks: a reverse-engineering approach
type: Dataset
description: International audience
issued: 2026-05-10T07:48:17.878721
language: en
modified: 2026-05-10T07:48:17.878725
contact point: Organization
  fn: CCSD
keyword: infoeu-reposemanticsarticle
keyword: journal-articles
keyword: mathmath-gmmathematics-mathgeneral-mathematics-mathgm
keyword: neural-networks
keyword: neurons-dynamics
keyword: spike-coding
keyword: spike-trains
keyword: spiking-network
landing page: 1741-2560

Parameters estimation in spiking neural networks: a reverse-engineering approach
type: Distribution
format: HTML
issued: 2026-05-10T07:48:17.880553
modified: 2026-05-10T07:48:17.866179
access URL: https://inria.hal.science/hal-00845594

test_moissonnage_selune
type: Agent