To which extend is the 'neural code'' a metric ?

Bruno Cessac; Horacio Rostro; Juan Carlos Vasquez; Thierry Viéville

hal-00331567, version 1

To which extend is the "neural code'' a metric ?

Bruno Cessac ( Auteur à contacter de préférence ) ^1, 2, Horacio Rostro () ¹, Juan Carlos Vasquez () ¹, Thierry Viéville () ³

Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08" (2008)

Résumé : Here is proposed a review of the different choices to structure spike trains, using deterministic metrics. Temporal constraints observed in biological or computational spike trains are first taken into account The relation with existing neural codes (rate coding, rank coding, phase coding, ..) is then discussed. To which extend the ``neural code'' contained in spike trains is related to a metric appears to be a key point, a generalization of the Victor-Purpura metric family being proposed for temporal constrained causal spike trains.

1 : Institut Non Linéaire de Nice Sophia-Antipolis (INLN)
CNRS : UMR6618 – Université Nice Sophia Antipolis [UNS]
2 : ODYSSEE (INRIA Sophia Antipolis)
INRIA – Ecole des Ponts ParisTech – Ecole normale supérieure de Paris - ENS Paris
3 : CORTEX (INRIA Lorraine - LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)

hal-00331567, version 1
http://hal.archives-ouvertes.fr/hal-00331567
oai:hal.archives-ouvertes.fr:hal-00331567
Contributeur : Laurent Perrinet <>
Soumis le : Vendredi 17 Octobre 2008, 10:39:11
Dernière modification le : Mardi 9 Novembre 2010, 12:39:41

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