Quantitative Single-Neuron Modeling: Competition 2009
-
1
Ecole Polytechniqe Federal de Lausanne (EPFL), Switzerland
-
2
University of Bern, Switzerland
-
3
University College London, United Kingdom
How well are single-cell properties reproduced by the present-day neuronal models? Recently, several labs have approached this question by assessing the quality of the models with respect to spike timing prediction [1, 2, 3]. So far, every modeler used his own preferred performance measure on his own data set. The ‘Quantitative Single-Neuron Modeling Competition’ offers a coherent framework to compare neuronal models with four different experiments. The modelers know the input and have access to the ouput (voltage trace or only the spike times) of part of the available data. The validity of a model is assessed by its ability to predict the spike times for the remaining part. In the first experiment, a regular spiking cortical neuron of layer 5 is stimulated at the soma with a patch-clamp electrode. In the second, a fast-spiking cortical interneuron of layer 5 is stimulated at the soma. The third experiment consists of a deep layer 5 pyramidal neuron stimulated at the soma and at the apical dendrites simultaneously. The fourth experiment is in-vivo; the challenge is to predict the spike times of a neuron in the lateral geniculate nucleus knowing the spike times on the presynaptic side (from a retinal ganglion cell). Expert and novice modelers have been invited to submit their prediction of neuronal behavior in any or all of these four different experimental setups. The winning participation of the competition will be awarded in the workshop: "How should a neuron be modeled? Biophysical detail vs. abstraction". Here we present in details the results of this competition. The data from this competition as well as from previous years will remain available online[4] so that it can be used as a benchmark for future models and theoretical approaches.
References
1. Jolivet, Kobayashi, Rauch, Naud, Shinomoto and Gerstner, Journal of Neuroscience Methods (2008).
2. Pillow, Paninski, Uzzell, Simoncelli and Chichilnisky, Journal of Neuroscience (2005).
3. Carandini, Horton, Sincich, J. Vision (2007).
4. www.incf.org/community/competition/
Conference:
Neuroinformatics 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009.
Presentation Type:
Poster Presentation
Topic:
Computational neuroscience
Citation:
Naud
R,
Berger
T,
Bathellier
B,
Carandini
M and
Gerstner
W
(2019). Quantitative Single-Neuron Modeling: Competition 2009.
Front. Neuroinform.
Conference Abstract:
Neuroinformatics 2009.
doi: 10.3389/conf.neuro.11.2009.08.106
Copyright:
The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers.
They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.
The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.
Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.
For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.
Received:
25 May 2009;
Published Online:
09 May 2019.
*
Correspondence:
Richard Naud, Ecole Polytechniqe Federal de Lausanne (EPFL), Lausanne, Switzerland, rnaud@uottawa.ca