A benchmark test for a quantitative assessment of simple neuron models.
- Jolivet R Center for Psychiatric Neuroscience, University of Lausanne, 1015 Lausanne, Switzerland. renaud.jolivet@a3.epfl.ch
- Kobayashi R
- Rauch A
- Naud R
- Shinomoto S
- Gerstner W
- 2007-12-28
Published in:
- Journal of neuroscience methods. - 2008
Algorithms
Animals
Cerebral Cortex
Data Interpretation, Statistical
Electrophysiology
Female
Male
Models, Neurological
Neurons
Pyramidal Cells
Rats
Rats, Wistar
Regression Analysis
English
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.
- Language
-
- English
- Open access status
- green
- Identifiers
-
- DOI 10.1016/j.jneumeth.2007.11.006
- PMID 18160135
- Persistent URL
- https://folia.unifr.ch/global/documents/125761
Statistics
Document views: 14
File downloads:
- fulltext.pdf: 0