Loading…

A coupled-oscillator model of olfactory bulb gamma oscillations

The olfactory bulb transforms not only the information content of the primary sensory representation, but also its underlying coding metric. High-variance, slow-timescale primary odor representations are transformed by bulbar circuitry into secondary representations based on principal neuron spike p...

Full description

Saved in:
Bibliographic Details
Published in:PLoS computational biology 2017-11, Vol.13 (11), p.e1005760-e1005760
Main Authors: Li, Guoshi, Cleland, Thomas A
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-c661t-516679f5672b74d5216718a52d38f49b83d0ca1e02f773e142c396d53d79c0673
cites cdi_FETCH-LOGICAL-c661t-516679f5672b74d5216718a52d38f49b83d0ca1e02f773e142c396d53d79c0673
container_end_page e1005760
container_issue 11
container_start_page e1005760
container_title PLoS computational biology
container_volume 13
creator Li, Guoshi
Cleland, Thomas A
description The olfactory bulb transforms not only the information content of the primary sensory representation, but also its underlying coding metric. High-variance, slow-timescale primary odor representations are transformed by bulbar circuitry into secondary representations based on principal neuron spike patterns that are tightly regulated in time. This emergent fast timescale for signaling is reflected in gamma-band local field potentials, presumably serving to efficiently integrate olfactory sensory information into the temporally regulated information networks of the central nervous system. To understand this transformation and its integration with interareal coordination mechanisms requires that we understand its fundamental dynamical principles. Using a biophysically explicit, multiscale model of olfactory bulb circuitry, we here demonstrate that an inhibition-coupled intrinsic oscillator framework, pyramidal resonance interneuron network gamma (PRING), best captures the diversity of physiological properties exhibited by the olfactory bulb. Most importantly, these properties include global zero-phase synchronization in the gamma band, the phase-restriction of informative spikes in principal neurons with respect to this common clock, and the robustness of this synchronous oscillatory regime to multiple challenging conditions observed in the biological system. These conditions include substantial heterogeneities in afferent activation levels and excitatory synaptic weights, high levels of uncorrelated background activity among principal neurons, and spike frequencies in both principal neurons and interneurons that are irregular in time and much lower than the gamma frequency. This coupled cellular oscillator architecture permits stable and replicable ensemble responses to diverse sensory stimuli under various external conditions as well as to changes in network parameters arising from learning-dependent synaptic plasticity.
doi_str_mv 10.1371/journal.pcbi.1005760
format article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1977641503</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A516767077</galeid><doaj_id>oai_doaj_org_article_52df2dc9b2e9444b8e9e3782a4dd19df</doaj_id><sourcerecordid>A516767077</sourcerecordid><originalsourceid>FETCH-LOGICAL-c661t-516679f5672b74d5216718a52d38f49b83d0ca1e02f773e142c396d53d79c0673</originalsourceid><addsrcrecordid>eNqVkluL1DAUx4so7rr6DUQLvuhDx9zTvCjD4mVgUfDyHNJcaoa0GZtW3G9v6nSWreyL5CHh5Hf-55w_pyieQrCBmMPX-zgNvQqbg278BgJAOQP3inNIKa44pvX9W--z4lFKewDyU7CHxRkSkADB8XnxdlvqOB2CNVVM2oegxjiUXTQ2lNGVMTilc-S6bKbQlK3qOlWeQB_79Lh44FRI9slyXxTf37_7dvmxuvr8YXe5vao0Y3CsKGSMC0cZRw0nhiLIOKwVRQbXjoimxgZoBS1AjnNsIUEaC2YoNlxowDi-KJ4fdQ8hJrnMniQUnDMCKcCZ2B0JE9VeHgbfqeFaRuXl30AcWqmG0etgZS7rkNGiQVYQQpraCot5jRQxBgrjstabpdrUdNZo24-DCivR9U_vf8g2_pKUz83CLPByERjiz8mmUXY-aZtd622c5r4ZRZRwxDL64h_07ukWqlV5AN-7mOvqWVRus7mcccBnlzZ3UPkY23kde-t8jq8SXq0SMjPa32OrppTk7uuX_2A_rVlyZPUQUxqsu_EOAjmv72lIOa-vXNY3pz277ftN0mlf8R8frukx</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1977641503</pqid></control><display><type>article</type><title>A coupled-oscillator model of olfactory bulb gamma oscillations</title><source>PubMed Central Free</source><source>Publicly Available Content Database</source><creator>Li, Guoshi ; Cleland, Thomas A</creator><contributor>Ermentrout, Bard</contributor><creatorcontrib>Li, Guoshi ; Cleland, Thomas A ; Ermentrout, Bard</creatorcontrib><description>The olfactory bulb transforms not only the information content of the primary sensory representation, but also its underlying coding metric. High-variance, slow-timescale primary odor representations are transformed by bulbar circuitry into secondary representations based on principal neuron spike patterns that are tightly regulated in time. This emergent fast timescale for signaling is reflected in gamma-band local field potentials, presumably serving to efficiently integrate olfactory sensory information into the temporally regulated information networks of the central nervous system. To understand this transformation and its integration with interareal coordination mechanisms requires that we understand its fundamental dynamical principles. Using a biophysically explicit, multiscale model of olfactory bulb circuitry, we here demonstrate that an inhibition-coupled intrinsic oscillator framework, pyramidal resonance interneuron network gamma (PRING), best captures the diversity of physiological properties exhibited by the olfactory bulb. Most importantly, these properties include global zero-phase synchronization in the gamma band, the phase-restriction of informative spikes in principal neurons with respect to this common clock, and the robustness of this synchronous oscillatory regime to multiple challenging conditions observed in the biological system. These conditions include substantial heterogeneities in afferent activation levels and excitatory synaptic weights, high levels of uncorrelated background activity among principal neurons, and spike frequencies in both principal neurons and interneurons that are irregular in time and much lower than the gamma frequency. This coupled cellular oscillator architecture permits stable and replicable ensemble responses to diverse sensory stimuli under various external conditions as well as to changes in network parameters arising from learning-dependent synaptic plasticity.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1005760</identifier><identifier>PMID: 29140973</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Action Potentials ; Animals ; Bands ; Biology and Life Sciences ; Central nervous system ; Circuits ; Coding ; Computational Biology ; Computer and Information Sciences ; Firing pattern ; Funding ; Gamma Rhythm - physiology ; Genetic transformation ; Information processing ; Interneurons ; Medicine and Health Sciences ; Models, Neurological ; Nervous system ; Neural coding ; Neurons ; Odor ; Odors ; Olfactory bulb ; Olfactory Bulb - physiology ; Olfactory nerve ; Oscillations ; Physical Sciences ; Physiological aspects ; Rats ; Representations ; Sensory evaluation ; Sensory neurons ; Sensory stimuli ; Signaling ; Smell ; Synaptic plasticity ; Synaptic strength ; Synchronism ; Synchronization ; Time ; Transformation</subject><ispartof>PLoS computational biology, 2017-11, Vol.13 (11), p.e1005760-e1005760</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Li G, Cleland TA (2017) A coupled-oscillator model of olfactory bulb gamma oscillations. PLoS Comput Biol 13(11): e1005760. https://doi.org/10.1371/journal.pcbi.1005760</rights><rights>2017 Li, Cleland 2017 Li, Cleland</rights><rights>2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Li G, Cleland TA (2017) A coupled-oscillator model of olfactory bulb gamma oscillations. PLoS Comput Biol 13(11): e1005760. https://doi.org/10.1371/journal.pcbi.1005760</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c661t-516679f5672b74d5216718a52d38f49b83d0ca1e02f773e142c396d53d79c0673</citedby><cites>FETCH-LOGICAL-c661t-516679f5672b74d5216718a52d38f49b83d0ca1e02f773e142c396d53d79c0673</cites><orcidid>0000-0001-7506-1201 ; 0000-0002-8984-4722</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1977641503/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1977641503?pq-origsite=primo$$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/29140973$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ermentrout, Bard</contributor><creatorcontrib>Li, Guoshi</creatorcontrib><creatorcontrib>Cleland, Thomas A</creatorcontrib><title>A coupled-oscillator model of olfactory bulb gamma oscillations</title><title>PLoS computational biology</title><addtitle>PLoS Comput Biol</addtitle><description>The olfactory bulb transforms not only the information content of the primary sensory representation, but also its underlying coding metric. High-variance, slow-timescale primary odor representations are transformed by bulbar circuitry into secondary representations based on principal neuron spike patterns that are tightly regulated in time. This emergent fast timescale for signaling is reflected in gamma-band local field potentials, presumably serving to efficiently integrate olfactory sensory information into the temporally regulated information networks of the central nervous system. To understand this transformation and its integration with interareal coordination mechanisms requires that we understand its fundamental dynamical principles. Using a biophysically explicit, multiscale model of olfactory bulb circuitry, we here demonstrate that an inhibition-coupled intrinsic oscillator framework, pyramidal resonance interneuron network gamma (PRING), best captures the diversity of physiological properties exhibited by the olfactory bulb. Most importantly, these properties include global zero-phase synchronization in the gamma band, the phase-restriction of informative spikes in principal neurons with respect to this common clock, and the robustness of this synchronous oscillatory regime to multiple challenging conditions observed in the biological system. These conditions include substantial heterogeneities in afferent activation levels and excitatory synaptic weights, high levels of uncorrelated background activity among principal neurons, and spike frequencies in both principal neurons and interneurons that are irregular in time and much lower than the gamma frequency. This coupled cellular oscillator architecture permits stable and replicable ensemble responses to diverse sensory stimuli under various external conditions as well as to changes in network parameters arising from learning-dependent synaptic plasticity.</description><subject>Action Potentials</subject><subject>Animals</subject><subject>Bands</subject><subject>Biology and Life Sciences</subject><subject>Central nervous system</subject><subject>Circuits</subject><subject>Coding</subject><subject>Computational Biology</subject><subject>Computer and Information Sciences</subject><subject>Firing pattern</subject><subject>Funding</subject><subject>Gamma Rhythm - physiology</subject><subject>Genetic transformation</subject><subject>Information processing</subject><subject>Interneurons</subject><subject>Medicine and Health Sciences</subject><subject>Models, Neurological</subject><subject>Nervous system</subject><subject>Neural coding</subject><subject>Neurons</subject><subject>Odor</subject><subject>Odors</subject><subject>Olfactory bulb</subject><subject>Olfactory Bulb - physiology</subject><subject>Olfactory nerve</subject><subject>Oscillations</subject><subject>Physical Sciences</subject><subject>Physiological aspects</subject><subject>Rats</subject><subject>Representations</subject><subject>Sensory evaluation</subject><subject>Sensory neurons</subject><subject>Sensory stimuli</subject><subject>Signaling</subject><subject>Smell</subject><subject>Synaptic plasticity</subject><subject>Synaptic strength</subject><subject>Synchronism</subject><subject>Synchronization</subject><subject>Time</subject><subject>Transformation</subject><issn>1553-7358</issn><issn>1553-734X</issn><issn>1553-7358</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqVkluL1DAUx4so7rr6DUQLvuhDx9zTvCjD4mVgUfDyHNJcaoa0GZtW3G9v6nSWreyL5CHh5Hf-55w_pyieQrCBmMPX-zgNvQqbg278BgJAOQP3inNIKa44pvX9W--z4lFKewDyU7CHxRkSkADB8XnxdlvqOB2CNVVM2oegxjiUXTQ2lNGVMTilc-S6bKbQlK3qOlWeQB_79Lh44FRI9slyXxTf37_7dvmxuvr8YXe5vao0Y3CsKGSMC0cZRw0nhiLIOKwVRQbXjoimxgZoBS1AjnNsIUEaC2YoNlxowDi-KJ4fdQ8hJrnMniQUnDMCKcCZ2B0JE9VeHgbfqeFaRuXl30AcWqmG0etgZS7rkNGiQVYQQpraCot5jRQxBgrjstabpdrUdNZo24-DCivR9U_vf8g2_pKUz83CLPByERjiz8mmUXY-aZtd622c5r4ZRZRwxDL64h_07ukWqlV5AN-7mOvqWVRus7mcccBnlzZ3UPkY23kde-t8jq8SXq0SMjPa32OrppTk7uuX_2A_rVlyZPUQUxqsu_EOAjmv72lIOa-vXNY3pz277ftN0mlf8R8frukx</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>Li, Guoshi</creator><creator>Cleland, Thomas A</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>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7QO</scope><scope>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7506-1201</orcidid><orcidid>https://orcid.org/0000-0002-8984-4722</orcidid></search><sort><creationdate>20171101</creationdate><title>A coupled-oscillator model of olfactory bulb gamma oscillations</title><author>Li, Guoshi ; Cleland, Thomas A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c661t-516679f5672b74d5216718a52d38f49b83d0ca1e02f773e142c396d53d79c0673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Action Potentials</topic><topic>Animals</topic><topic>Bands</topic><topic>Biology and Life Sciences</topic><topic>Central nervous system</topic><topic>Circuits</topic><topic>Coding</topic><topic>Computational Biology</topic><topic>Computer and Information Sciences</topic><topic>Firing pattern</topic><topic>Funding</topic><topic>Gamma Rhythm - physiology</topic><topic>Genetic transformation</topic><topic>Information processing</topic><topic>Interneurons</topic><topic>Medicine and Health Sciences</topic><topic>Models, Neurological</topic><topic>Nervous system</topic><topic>Neural coding</topic><topic>Neurons</topic><topic>Odor</topic><topic>Odors</topic><topic>Olfactory bulb</topic><topic>Olfactory Bulb - physiology</topic><topic>Olfactory nerve</topic><topic>Oscillations</topic><topic>Physical Sciences</topic><topic>Physiological aspects</topic><topic>Rats</topic><topic>Representations</topic><topic>Sensory evaluation</topic><topic>Sensory neurons</topic><topic>Sensory stimuli</topic><topic>Signaling</topic><topic>Smell</topic><topic>Synaptic plasticity</topic><topic>Synaptic strength</topic><topic>Synchronism</topic><topic>Synchronization</topic><topic>Time</topic><topic>Transformation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Guoshi</creatorcontrib><creatorcontrib>Cleland, Thomas A</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: Canada</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</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>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</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>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Computing Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Biological Science Journals</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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 Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Guoshi</au><au>Cleland, Thomas A</au><au>Ermentrout, Bard</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A coupled-oscillator model of olfactory bulb gamma oscillations</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2017-11-01</date><risdate>2017</risdate><volume>13</volume><issue>11</issue><spage>e1005760</spage><epage>e1005760</epage><pages>e1005760-e1005760</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>The olfactory bulb transforms not only the information content of the primary sensory representation, but also its underlying coding metric. High-variance, slow-timescale primary odor representations are transformed by bulbar circuitry into secondary representations based on principal neuron spike patterns that are tightly regulated in time. This emergent fast timescale for signaling is reflected in gamma-band local field potentials, presumably serving to efficiently integrate olfactory sensory information into the temporally regulated information networks of the central nervous system. To understand this transformation and its integration with interareal coordination mechanisms requires that we understand its fundamental dynamical principles. Using a biophysically explicit, multiscale model of olfactory bulb circuitry, we here demonstrate that an inhibition-coupled intrinsic oscillator framework, pyramidal resonance interneuron network gamma (PRING), best captures the diversity of physiological properties exhibited by the olfactory bulb. Most importantly, these properties include global zero-phase synchronization in the gamma band, the phase-restriction of informative spikes in principal neurons with respect to this common clock, and the robustness of this synchronous oscillatory regime to multiple challenging conditions observed in the biological system. These conditions include substantial heterogeneities in afferent activation levels and excitatory synaptic weights, high levels of uncorrelated background activity among principal neurons, and spike frequencies in both principal neurons and interneurons that are irregular in time and much lower than the gamma frequency. This coupled cellular oscillator architecture permits stable and replicable ensemble responses to diverse sensory stimuli under various external conditions as well as to changes in network parameters arising from learning-dependent synaptic plasticity.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29140973</pmid><doi>10.1371/journal.pcbi.1005760</doi><orcidid>https://orcid.org/0000-0001-7506-1201</orcidid><orcidid>https://orcid.org/0000-0002-8984-4722</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1553-7358
ispartof PLoS computational biology, 2017-11, Vol.13 (11), p.e1005760-e1005760
issn 1553-7358
1553-734X
1553-7358
language eng
recordid cdi_plos_journals_1977641503
source PubMed Central Free; Publicly Available Content Database
subjects Action Potentials
Animals
Bands
Biology and Life Sciences
Central nervous system
Circuits
Coding
Computational Biology
Computer and Information Sciences
Firing pattern
Funding
Gamma Rhythm - physiology
Genetic transformation
Information processing
Interneurons
Medicine and Health Sciences
Models, Neurological
Nervous system
Neural coding
Neurons
Odor
Odors
Olfactory bulb
Olfactory Bulb - physiology
Olfactory nerve
Oscillations
Physical Sciences
Physiological aspects
Rats
Representations
Sensory evaluation
Sensory neurons
Sensory stimuli
Signaling
Smell
Synaptic plasticity
Synaptic strength
Synchronism
Synchronization
Time
Transformation
title A coupled-oscillator model of olfactory bulb gamma oscillations
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T00%3A20%3A37IST&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=A%20coupled-oscillator%20model%20of%20olfactory%20bulb%20gamma%20oscillations&rft.jtitle=PLoS%20computational%20biology&rft.au=Li,%20Guoshi&rft.date=2017-11-01&rft.volume=13&rft.issue=11&rft.spage=e1005760&rft.epage=e1005760&rft.pages=e1005760-e1005760&rft.issn=1553-7358&rft.eissn=1553-7358&rft_id=info:doi/10.1371/journal.pcbi.1005760&rft_dat=%3Cgale_plos_%3EA516767077%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c661t-516679f5672b74d5216718a52d38f49b83d0ca1e02f773e142c396d53d79c0673%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1977641503&rft_id=info:pmid/29140973&rft_galeid=A516767077&rfr_iscdi=true