A benchmark test for a quantitative assessment of simple neuron models

Renaud Jolivet*, Ryota Kobayashi, Alexander Rauch, Richard Naud, Shigeru Shinomoto, Wulfram Gerstner

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Several methods and algorithms have recently been proposed that allow for the systematic evaluation of simple neuron models from intracellular or extracellular recordings. Models built in this way generate good quantitative predictions of the future activity of neurons under temporally structured current injection. It is, however, difficult to compare the advantages of various models and algorithms since each model is designed for a different set of data. Here, we report about one of the first attempts to establish a benchmark test that permits a systematic comparison of methods and performances in predicting the activity of rat cortical pyramidal neurons. We present early submissions to the benchmark test and discuss implications for the design of future tests and simple neurons models. (c) 2007 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)417-424
Number of pages8
JournalJournal of Neuroscience Methods
Volume169
Issue number2
DOIs
Publication statusPublished - 30 Apr 2008
Externally publishedYes

Keywords

  • spike timing prediction
  • integrate-and-fire model
  • spike response model
  • benchmark test
  • METRIC-SPACE ANALYSIS
  • SPIKE TRAINS
  • THRESHOLD-MODEL
  • INPUT CURRENTS
  • SINGLE-NEURON
  • FIRE MODELS
  • INFORMATION
  • RELIABILITY
  • PARAMETERS
  • RESPONSES

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