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ORAL PRESENTATION Open Access How does odor-specificity emerge in the olfactory system? Ron A Jortner From 1st International Workshop on Odor Spaces Hannover, Germany. 4-7 September 2013 Olfactory systems operate in a balancing-act between two contrasting requirements. On the one hand, dealing with the bewildering repertoire of natural odors requires them to be extremely broad and versatile. At the same time, recognizing odors reliably, discriminating between similar compounds and overlapping mixtures, and detecting odorants in miniscule concentrations all require exquisite precision and specificity. How can a single system satisfy such opposite requirements? There are of course specialized odorants (such as pher- omones) which have highly specific receptor-proteins (and thus, highly specific receptor-neurons) tailored to them. In these cases the receptor-ligand pair implements a lock-and-key fit and downstream signaling proceeds via labeled-lines. Such specialized signaling channels, how- ever, do not reflect the general case, and the designated hardware they require sharply limits the number of odorants which can be managed. General odorants processed by general-purpose receptor neuronspose a much bigger challenge, in that the very same hardware needs to allow both broadness and specificity. Here I discuss how simple neuronal hardware can solve this complex task: generating arbitrarily odor- specific cells from an arbitrarily large odor input space. Experimental findings on network architecture in the olfactory system of the locust [1] were the inspiration for a highly simplified theoretical framework, key properties of which can be analytically solved [2]. I prove that an intermediate range of connectivity values between source- and target-populations leads to a combinatorial explosion of wiring possibilities, resulting in input spaces which are, by their very nature, exquisitely sparsely popu- lated. In particular, connection probability ½, as found in the locust antennal-lobemushroom-body circuit, maxi- mizes separation of neuronal representations across the target Kenyon cells, explaining their specific and reliable odor-responses. I show that combining such connectivity matrix with a suitable firing threshold generates arbitra- rily odor-specific target cells: this forms a simple neuro- nal algorithm which is applicable to the general case of chemical sensing and may be found in other olfactory systems: it generates arbitrarily sparse and selective codes and allows to construct ecologically-meaningful repre- sentations from them. Published: 16 April 2014 References 1. Jortner RA, Farivar SS, Laurent G: A simple connectivity scheme for sparse coding in an olfactory system. J Neurosci 2007, 27:1659-1669. 2. Jortner RA: Network architecture underlying maximal separation of neuronal representations. Front Neuroeng 2012, 5:19. doi:10.1186/2044-7248-3-S1-O25 Cite this article as: Jortner: How does odor-specificity emerge in the olfactory system? Flavour 2014 3(Suppl 1):O25. Submit your next manuscript to BioMed Central and take full advantage of: Convenient online submission Thorough peer review No space constraints or color figure charges Immediate publication on acceptance Inclusion in PubMed, CAS, Scopus and Google Scholar Research which is freely available for redistribution Submit your manuscript at www.biomedcentral.com/submit MPI of Neurobiology - Department of Cellular and Systems Neurobiology, 82152 Martinsried, Germany Jortner Flavour 2014, 3(Suppl 1):O25 http://www.flavourjournal.com/content/3/S1/O25 © 2014 Jortner; licensee 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.

How does odor-specificity emerge in the olfactory system?

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Page 1: How does odor-specificity emerge in the olfactory system?

ORAL PRESENTATION Open Access

How does odor-specificity emerge in theolfactory system?Ron A Jortner

From 1st International Workshop on Odor SpacesHannover, Germany. 4-7 September 2013

Olfactory systems operate in a balancing-act betweentwo contrasting requirements. On the one hand, dealingwith the bewildering repertoire of natural odors requiresthem to be extremely broad and versatile. At the sametime, recognizing odors reliably, discriminating betweensimilar compounds and overlapping mixtures, anddetecting odorants in miniscule concentrations allrequire exquisite precision and specificity. How can asingle system satisfy such opposite requirements?There are of course specialized odorants (such as pher-

omones) which have highly specific receptor-proteins(and thus, highly specific receptor-neurons) tailored tothem. In these cases the receptor-ligand pair implementsa lock-and-key fit and downstream signaling proceeds vialabeled-lines. Such specialized signaling channels, how-ever, do not reflect the general case, and the designatedhardware they require sharply limits the number ofodorants which can be managed. General odorants—processed by general-purpose receptor neurons—pose amuch bigger challenge, in that the very same hardwareneeds to allow both broadness and specificity.Here I discuss how simple neuronal hardware can

solve this complex task: generating arbitrarily odor-specific cells from an arbitrarily large odor input space.Experimental findings on network architecture in theolfactory system of the locust [1] were the inspiration fora highly simplified theoretical framework, key propertiesof which can be analytically solved [2]. I prove that anintermediate range of connectivity values betweensource- and target-populations leads to a combinatorialexplosion of wiring possibilities, resulting in input spaceswhich are, by their very nature, exquisitely sparsely popu-lated. In particular, connection probability ½, as found inthe locust antennal-lobe–mushroom-body circuit, maxi-mizes separation of neuronal representations across the

target Kenyon cells, explaining their specific and reliableodor-responses. I show that combining such connectivitymatrix with a suitable firing threshold generates arbitra-rily odor-specific target cells: this forms a simple neuro-nal algorithm which is applicable to the general case ofchemical sensing and may be found in other olfactorysystems: it generates arbitrarily sparse and selective codesand allows to construct ecologically-meaningful repre-sentations from them.

Published: 16 April 2014

References1. Jortner RA, Farivar SS, Laurent G: A simple connectivity scheme for sparse

coding in an olfactory system. J Neurosci 2007, 27:1659-1669.2. Jortner RA: Network architecture underlying maximal separation of

neuronal representations. Front Neuroeng 2012, 5:19.

doi:10.1186/2044-7248-3-S1-O25Cite this article as: Jortner: How does odor-specificity emerge in theolfactory system? Flavour 2014 3(Suppl 1):O25.

Submit your next manuscript to BioMed Centraland take full advantage of:

• Convenient online submission

• Thorough peer review

• No space constraints or color figure charges

• Immediate publication on acceptance

• Inclusion in PubMed, CAS, Scopus and Google Scholar

• Research which is freely available for redistribution

Submit your manuscript at www.biomedcentral.com/submitMPI of Neurobiology - Department of Cellular and Systems Neurobiology,

82152 Martinsried, Germany

Jortner Flavour 2014, 3(Suppl 1):O25http://www.flavourjournal.com/content/3/S1/O25

© 2014 Jortner; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative CommonsAttribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction inany 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.