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Poster

Axonal IN types in rat's barrel cortex

MPS-Authors
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Udvary,  Daniel
Former Research Group Computational Neuroanatomy, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84931

Egger,  Robert
Former Research Group Computational Neuroanatomy, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84910

Oberlaender,  Marcel
Former Research Group Computational Neuroanatomy, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource

http://www.sfn.org/annual-meeting/neuroscience-2014
(Abstract)

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Citation

Udvary, D., Egger, R., Guest, J., Helmstaedter, M., Sakmann, B., Feldmeyer, D., et al. (2014). Axonal IN types in rat's barrel cortex. Poster presented at 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014), Washington, DC, USA.


Cite as: https://hdl.handle.net/21.11116/0000-0001-3213-1
Abstract
Classifying cortical interneurons is a major challenge in contemporary neuroscience due to their great diversity. Interneurons are commonly classified by molecular markers, physiological responses or by morphological and topological features. However, there is little overlap between those properties. Here, we present an approach to classify a large dataset of in vitro-labeled interneurons (N=204) across a whole cortical column of the rat's barrel cortex based on their axonal morphology. In contrast to many other classification studies we classified the IN morphologies independent of cytoarchitectonic landmarks since IN soma densities are not related to excitatory soma densities. We find five distinct IN types that are independent of their soma and layer location.