TY - JOUR
T1 - Coding in the olfactory system
T2 - 1st Int Workshop on Odor Spaces
AU - Metzner, C.
N1 - © Metzner; licensee BioMed Central Ltd. 2014
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated
PY - 2014
Y1 - 2014
N2 - [Poster presentation].In general, theoretical models for the function of the olfactory system can be divided into two broad categories. In one, the seemingly diffuse and unstructured pattern of neuronal connections within the olfactory cortex have been interpreted to suggest that it functions like a kind of an autoassociative neural network. An essential feature of autoassociative networks is their randomly structured connectivity and the special importance of the formation of connection weights in the process of its evolution. On the other hand, a very different functional structure has recently been proposed based on a detailed biologically realistic network model of the olfactory cortex. This work predicts that the olfactory cortex actually has a highly structured connectivity consisting of distinct different although highly spatially overlapping subnetworks, which are only sparsely connected to each other
AB - [Poster presentation].In general, theoretical models for the function of the olfactory system can be divided into two broad categories. In one, the seemingly diffuse and unstructured pattern of neuronal connections within the olfactory cortex have been interpreted to suggest that it functions like a kind of an autoassociative neural network. An essential feature of autoassociative networks is their randomly structured connectivity and the special importance of the formation of connection weights in the process of its evolution. On the other hand, a very different functional structure has recently been proposed based on a detailed biologically realistic network model of the olfactory cortex. This work predicts that the olfactory cortex actually has a highly structured connectivity consisting of distinct different although highly spatially overlapping subnetworks, which are only sparsely connected to each other
U2 - 10.1186/2044-7248-3-s1-p10
DO - 10.1186/2044-7248-3-s1-p10
M3 - Article
VL - 3
JO - Flavour
JF - Flavour
IS - Suppl 1
M1 - P10
Y2 - 4 September 2013 through 7 September 2013
ER -