Loading…
Reliable neuronal systems: the importance of heterogeneity
For every engineer it goes without saying: in order to build a reliable system we need components that consistently behave precisely as they should. It is also well known that neurons, the building blocks of brains, do not satisfy this constraint. Even neurons of the same type come with huge varianc...
Saved in:
| Published in: | PloS one 2013-12, Vol.8 (12), p.e80694-e80694 |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | cdi_FETCH-LOGICAL-c692t-6320b803d4fa0917114d961c9f5ff591a063285b9921ffcf9d9c159bc063d77a3 |
|---|---|
| cites | cdi_FETCH-LOGICAL-c692t-6320b803d4fa0917114d961c9f5ff591a063285b9921ffcf9d9c159bc063d77a3 |
| container_end_page | e80694 |
| container_issue | 12 |
| container_start_page | e80694 |
| container_title | PloS one |
| container_volume | 8 |
| creator | Lengler, Johannes Jug, Florian Steger, Angelika |
| description | For every engineer it goes without saying: in order to build a reliable system we need components that consistently behave precisely as they should. It is also well known that neurons, the building blocks of brains, do not satisfy this constraint. Even neurons of the same type come with huge variances in their properties and these properties also vary over time. Synapses, the connections between neurons, are highly unreliable in forwarding signals. In this paper we argue that both these fact add variance to neuronal processes, and that this variance is not a handicap of neural systems, but that instead predictable and reliable functional behavior of neural systems depends crucially on this variability. In particular, we show that higher variance allows a recurrently connected neural population to react more sensitively to incoming signals, and processes them faster and more energy efficient. This, for example, challenges the general assumption that the intrinsic variability of neurons in the brain is a defect that has to be overcome by synaptic plasticity in the process of learning. |
| doi_str_mv | 10.1371/journal.pone.0080694 |
| format | article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1464982410</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A478431791</galeid><doaj_id>oai_doaj_org_article_1ef6723306754f5a8947864351c53635</doaj_id><sourcerecordid>A478431791</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-6320b803d4fa0917114d961c9f5ff591a063285b9921ffcf9d9c159bc063d77a3</originalsourceid><addsrcrecordid>eNqNkl1rFDEUhgdRbK3-A9EBQfRi12TyMZNeCKX4sVAo1I_bkM2c7GbJTNYkI-6_N9udlh3pheQi4eQ57zkneYviJUZzTGr8YeOH0Cs33_oe5gg1iAv6qDjFglQzXiHy-Oh8UjyLcYMQIw3nT4uTipKK8gqfFuc34KxaOih7GILPgmXcxQRdPC_TGkrbbX1IqtdQelOuIUHwK-jBpt3z4olRLsKLcT8rfnz-9P3y6-zq-svi8uJqprmo0oyTCi0bRFpqFBK4xpi2gmMtDDOGCaxQJhq2FKLCxmgjWqExE0ud421dK3JWvD7obp2Pchw7Skw5FU1FMcrE4kC0Xm3kNthOhZ30ysrbgA8rqUKy2oHEYHhdEYJ4zahhqhG0bjglDGtGOGFZ6-NYbVh20GroU1BuIjq96e1arvxvSRq2bykLvBsFgv81QEyys1GDc6oHP9z2XSNesVpk9M0_6MPTjdRK5QFsb3yuq_ei8iI3TwmuBc7U_AEqrxY6q7NHjM3xScL7SUJmEvxJKzXEKBffbv6fvf45Zd8esWtQLq2jd0Oyvo9TkB5AHXyMAcz9I2Mk9xa_ew25t7gcLZ7TXh1_0H3SnafJXy3j83s</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1464982410</pqid></control><display><type>article</type><title>Reliable neuronal systems: the importance of heterogeneity</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Lengler, Johannes ; Jug, Florian ; Steger, Angelika</creator><contributor>Chacron, Maurice J.</contributor><creatorcontrib>Lengler, Johannes ; Jug, Florian ; Steger, Angelika ; Chacron, Maurice J.</creatorcontrib><description>For every engineer it goes without saying: in order to build a reliable system we need components that consistently behave precisely as they should. It is also well known that neurons, the building blocks of brains, do not satisfy this constraint. Even neurons of the same type come with huge variances in their properties and these properties also vary over time. Synapses, the connections between neurons, are highly unreliable in forwarding signals. In this paper we argue that both these fact add variance to neuronal processes, and that this variance is not a handicap of neural systems, but that instead predictable and reliable functional behavior of neural systems depends crucially on this variability. In particular, we show that higher variance allows a recurrently connected neural population to react more sensitively to incoming signals, and processes them faster and more energy efficient. This, for example, challenges the general assumption that the intrinsic variability of neurons in the brain is a defect that has to be overcome by synaptic plasticity in the process of learning.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0080694</identifier><identifier>PMID: 24324621</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid - metabolism ; Animals ; Brain ; Brain - physiology ; Computer science ; Computer Simulation ; Computers ; Defects ; Energy efficiency ; Excitatory Postsynaptic Potentials - physiology ; Experiments ; gamma-Aminobutyric Acid - metabolism ; Genetic Heterogeneity ; Heterogeneity ; Humans ; Learning - physiology ; Models, Neurological ; Nerve Net - physiology ; Neuronal Plasticity - genetics ; Neurons ; Neurons - cytology ; Neurons - metabolism ; Neurosciences ; Physiology ; Poisson Distribution ; Population ; Receptors, AMPA - genetics ; Receptors, AMPA - metabolism ; Receptors, N-Methyl-D-Aspartate - genetics ; Receptors, N-Methyl-D-Aspartate - metabolism ; Signal processing ; Standard deviation ; Synapses ; Synapses - physiology ; Synaptic plasticity ; Synaptic Transmission - physiology ; Variability</subject><ispartof>PloS one, 2013-12, Vol.8 (12), p.e80694-e80694</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Lengler et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/3.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Lengler et al 2013 Lengler et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-6320b803d4fa0917114d961c9f5ff591a063285b9921ffcf9d9c159bc063d77a3</citedby><cites>FETCH-LOGICAL-c692t-6320b803d4fa0917114d961c9f5ff591a063285b9921ffcf9d9c159bc063d77a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1464982410/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1464982410?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24324621$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Chacron, Maurice J.</contributor><creatorcontrib>Lengler, Johannes</creatorcontrib><creatorcontrib>Jug, Florian</creatorcontrib><creatorcontrib>Steger, Angelika</creatorcontrib><title>Reliable neuronal systems: the importance of heterogeneity</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>For every engineer it goes without saying: in order to build a reliable system we need components that consistently behave precisely as they should. It is also well known that neurons, the building blocks of brains, do not satisfy this constraint. Even neurons of the same type come with huge variances in their properties and these properties also vary over time. Synapses, the connections between neurons, are highly unreliable in forwarding signals. In this paper we argue that both these fact add variance to neuronal processes, and that this variance is not a handicap of neural systems, but that instead predictable and reliable functional behavior of neural systems depends crucially on this variability. In particular, we show that higher variance allows a recurrently connected neural population to react more sensitively to incoming signals, and processes them faster and more energy efficient. This, for example, challenges the general assumption that the intrinsic variability of neurons in the brain is a defect that has to be overcome by synaptic plasticity in the process of learning.</description><subject>alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid - metabolism</subject><subject>Animals</subject><subject>Brain</subject><subject>Brain - physiology</subject><subject>Computer science</subject><subject>Computer Simulation</subject><subject>Computers</subject><subject>Defects</subject><subject>Energy efficiency</subject><subject>Excitatory Postsynaptic Potentials - physiology</subject><subject>Experiments</subject><subject>gamma-Aminobutyric Acid - metabolism</subject><subject>Genetic Heterogeneity</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Learning - physiology</subject><subject>Models, Neurological</subject><subject>Nerve Net - physiology</subject><subject>Neuronal Plasticity - genetics</subject><subject>Neurons</subject><subject>Neurons - cytology</subject><subject>Neurons - metabolism</subject><subject>Neurosciences</subject><subject>Physiology</subject><subject>Poisson Distribution</subject><subject>Population</subject><subject>Receptors, AMPA - genetics</subject><subject>Receptors, AMPA - metabolism</subject><subject>Receptors, N-Methyl-D-Aspartate - genetics</subject><subject>Receptors, N-Methyl-D-Aspartate - metabolism</subject><subject>Signal processing</subject><subject>Standard deviation</subject><subject>Synapses</subject><subject>Synapses - physiology</subject><subject>Synaptic plasticity</subject><subject>Synaptic Transmission - physiology</subject><subject>Variability</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1rFDEUhgdRbK3-A9EBQfRi12TyMZNeCKX4sVAo1I_bkM2c7GbJTNYkI-6_N9udlh3pheQi4eQ57zkneYviJUZzTGr8YeOH0Cs33_oe5gg1iAv6qDjFglQzXiHy-Oh8UjyLcYMQIw3nT4uTipKK8gqfFuc34KxaOih7GILPgmXcxQRdPC_TGkrbbX1IqtdQelOuIUHwK-jBpt3z4olRLsKLcT8rfnz-9P3y6-zq-svi8uJqprmo0oyTCi0bRFpqFBK4xpi2gmMtDDOGCaxQJhq2FKLCxmgjWqExE0ud421dK3JWvD7obp2Pchw7Skw5FU1FMcrE4kC0Xm3kNthOhZ30ysrbgA8rqUKy2oHEYHhdEYJ4zahhqhG0bjglDGtGOGFZ6-NYbVh20GroU1BuIjq96e1arvxvSRq2bykLvBsFgv81QEyys1GDc6oHP9z2XSNesVpk9M0_6MPTjdRK5QFsb3yuq_ei8iI3TwmuBc7U_AEqrxY6q7NHjM3xScL7SUJmEvxJKzXEKBffbv6fvf45Zd8esWtQLq2jd0Oyvo9TkB5AHXyMAcz9I2Mk9xa_ew25t7gcLZ7TXh1_0H3SnafJXy3j83s</recordid><startdate>20131204</startdate><enddate>20131204</enddate><creator>Lengler, Johannes</creator><creator>Jug, Florian</creator><creator>Steger, Angelika</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20131204</creationdate><title>Reliable neuronal systems: the importance of heterogeneity</title><author>Lengler, Johannes ; Jug, Florian ; Steger, Angelika</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-6320b803d4fa0917114d961c9f5ff591a063285b9921ffcf9d9c159bc063d77a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid - metabolism</topic><topic>Animals</topic><topic>Brain</topic><topic>Brain - physiology</topic><topic>Computer science</topic><topic>Computer Simulation</topic><topic>Computers</topic><topic>Defects</topic><topic>Energy efficiency</topic><topic>Excitatory Postsynaptic Potentials - physiology</topic><topic>Experiments</topic><topic>gamma-Aminobutyric Acid - metabolism</topic><topic>Genetic Heterogeneity</topic><topic>Heterogeneity</topic><topic>Humans</topic><topic>Learning - physiology</topic><topic>Models, Neurological</topic><topic>Nerve Net - physiology</topic><topic>Neuronal Plasticity - genetics</topic><topic>Neurons</topic><topic>Neurons - cytology</topic><topic>Neurons - metabolism</topic><topic>Neurosciences</topic><topic>Physiology</topic><topic>Poisson Distribution</topic><topic>Population</topic><topic>Receptors, AMPA - genetics</topic><topic>Receptors, AMPA - metabolism</topic><topic>Receptors, N-Methyl-D-Aspartate - genetics</topic><topic>Receptors, N-Methyl-D-Aspartate - metabolism</topic><topic>Signal processing</topic><topic>Standard deviation</topic><topic>Synapses</topic><topic>Synapses - physiology</topic><topic>Synaptic plasticity</topic><topic>Synaptic Transmission - physiology</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lengler, Johannes</creatorcontrib><creatorcontrib>Jug, Florian</creatorcontrib><creatorcontrib>Steger, Angelika</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lengler, Johannes</au><au>Jug, Florian</au><au>Steger, Angelika</au><au>Chacron, Maurice J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reliable neuronal systems: the importance of heterogeneity</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-12-04</date><risdate>2013</risdate><volume>8</volume><issue>12</issue><spage>e80694</spage><epage>e80694</epage><pages>e80694-e80694</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>For every engineer it goes without saying: in order to build a reliable system we need components that consistently behave precisely as they should. It is also well known that neurons, the building blocks of brains, do not satisfy this constraint. Even neurons of the same type come with huge variances in their properties and these properties also vary over time. Synapses, the connections between neurons, are highly unreliable in forwarding signals. In this paper we argue that both these fact add variance to neuronal processes, and that this variance is not a handicap of neural systems, but that instead predictable and reliable functional behavior of neural systems depends crucially on this variability. In particular, we show that higher variance allows a recurrently connected neural population to react more sensitively to incoming signals, and processes them faster and more energy efficient. This, for example, challenges the general assumption that the intrinsic variability of neurons in the brain is a defect that has to be overcome by synaptic plasticity in the process of learning.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24324621</pmid><doi>10.1371/journal.pone.0080694</doi><tpages>e80694</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2013-12, Vol.8 (12), p.e80694-e80694 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1464982410 |
| source | Publicly Available Content Database; PubMed Central |
| subjects | alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid - metabolism Animals Brain Brain - physiology Computer science Computer Simulation Computers Defects Energy efficiency Excitatory Postsynaptic Potentials - physiology Experiments gamma-Aminobutyric Acid - metabolism Genetic Heterogeneity Heterogeneity Humans Learning - physiology Models, Neurological Nerve Net - physiology Neuronal Plasticity - genetics Neurons Neurons - cytology Neurons - metabolism Neurosciences Physiology Poisson Distribution Population Receptors, AMPA - genetics Receptors, AMPA - metabolism Receptors, N-Methyl-D-Aspartate - genetics Receptors, N-Methyl-D-Aspartate - metabolism Signal processing Standard deviation Synapses Synapses - physiology Synaptic plasticity Synaptic Transmission - physiology Variability |
| title | Reliable neuronal systems: the importance of heterogeneity |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T20%3A09%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reliable%20neuronal%20systems:%20the%20importance%20of%20heterogeneity&rft.jtitle=PloS%20one&rft.au=Lengler,%20Johannes&rft.date=2013-12-04&rft.volume=8&rft.issue=12&rft.spage=e80694&rft.epage=e80694&rft.pages=e80694-e80694&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0080694&rft_dat=%3Cgale_plos_%3EA478431791%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c692t-6320b803d4fa0917114d961c9f5ff591a063285b9921ffcf9d9c159bc063d77a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1464982410&rft_id=info:pmid/24324621&rft_galeid=A478431791&rfr_iscdi=true |