Communication in Neuronal Networks

Brains perform with remarkable efficiency, are capable of prodigious computation, and are marvels of communication. We are beginning to understand some of the geometric, biophysical, and energy constraints that have governed the evolution of cortical networks. To operate efficiently within these con...

Full description

Saved in:
Bibliographic Details
Published in:Science (American Association for the Advancement of Science) 2003-09, Vol.301 (5641), p.1870-1874
Main Authors: Laughlin, Simon B., Sejnowski, Terrence J.
Format: Article
Language:English
Subjects:
Action Potentials
Anatomy
Animals
Artificial neural networks
Axons
Behavior Patterns
Biological Evolution
Brain
Brain - physiology
Brain chemistry
Cell Communication
Cognition & reasoning
Communication (Thought Transfer)
Computer networks
Electric properties
Energy
Energy consumption
Energy efficiency
Gray matter
Humans
Information networks
Least Squares Statistics
Nerve Net - physiology
Nervous system
Networks
Neural network
Neural networks
Neurology
Neuronal Plasticity
Neurons
Neurons - physiology
Neuroscience
Physiological aspects
Psychological Patterns
Resource Allocation
Reviews
Signal noise
Synapses
Synaptic Transmission
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-c894t-cfd5b0fbf69c4b2cad4b63bcd39145f4b0416770ea6a071e099214a2149506c73
cites cdi_FETCH-LOGICAL-c894t-cfd5b0fbf69c4b2cad4b63bcd39145f4b0416770ea6a071e099214a2149506c73
container_end_page 1874
container_issue 5641
container_start_page 1870
container_title Science (American Association for the Advancement of Science)
container_volume 301
creator Laughlin, Simon B.
Sejnowski, Terrence J.
description Brains perform with remarkable efficiency, are capable of prodigious computation, and are marvels of communication. We are beginning to understand some of the geometric, biophysical, and energy constraints that have governed the evolution of cortical networks. To operate efficiently within these constraints, nature has optimized the structure and function of cortical networks with design principles similar to those used in electronic networks. The brain also exploits the adaptability of biological systems to reconfigure in response to changing needs.
doi_str_mv 10.1126/science.1089662
format article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2930149</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A110076420</galeid><jstor_id>3835175</jstor_id><sourcerecordid>A110076420</sourcerecordid><originalsourceid>FETCH-LOGICAL-c894t-cfd5b0fbf69c4b2cad4b63bcd39145f4b0416770ea6a071e099214a2149506c73</originalsourceid><addsrcrecordid>eNqN081v0zAUAHALgVgpnLkgNO0A4pDO344vSFsFZVK1Hvi4Wo7jBJfEHnYy4L_HqNGgqIIqshL5_d6LnLwHwFMEFwhhfp6Ms97YBYKl5BzfAzMEJSskhuQ-mEFIeFFCwU7Ao5S2EOaYJA_BCaIsZyMxA2fL0Pejd0YPLvhT50-v7RiD111-GL6F-CU9Bg8a3SX7ZLrPwce3bz4s3xXrzepqebEuTCnpUJimZhVsqoZLQytsdE0rTipTE5lf19AKUsSFgFZzDQWyUEqMqM5LMsiNIHPwelf3Zqx6Wxvrh6g7dRNdr-MPFbRT-xHvPqs23CosCcxVcoEXU4EYvo42Dap3ydiu096GMSnBBMKCkgxf_htSgnCJcfnfkqgsCZYcZXj2F9yGMebPmBRGhImSMZpRsUOt7qxyvgn5HKa13ubjBG8bl7cvEIJQcJp_4RwsDvh81bZ35mDCq72EbAb7fWj1mJK6en99vN18Ot5ero625Wq9b4tD1oSus61Vub2Wm31_vvMmhpSibe66A0H1ayDUNBBqGoic8fzPpvrtpwnI4NkObNMQ4l2clIQhwchPw-sJiQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>213578554</pqid></control><display><type>article</type><title>Communication in Neuronal Networks</title><source>Science Magazine</source><source>JSTOR Archival Journals and Primary Sources Collection</source><source>Social Science Premium Collection</source><source>Alma/SFX Local Collection</source><source>Education Collection</source><creator>Laughlin, Simon B. ; Sejnowski, Terrence J.</creator><creatorcontrib>Laughlin, Simon B. ; Sejnowski, Terrence J.</creatorcontrib><description>Brains perform with remarkable efficiency, are capable of prodigious computation, and are marvels of communication. We are beginning to understand some of the geometric, biophysical, and energy constraints that have governed the evolution of cortical networks. To operate efficiently within these constraints, nature has optimized the structure and function of cortical networks with design principles similar to those used in electronic networks. The brain also exploits the adaptability of biological systems to reconfigure in response to changing needs.</description><identifier>ISSN: 0036-8075</identifier><identifier>EISSN: 1095-9203</identifier><identifier>DOI: 10.1126/science.1089662</identifier><identifier>PMID: 14512617</identifier><identifier>CODEN: SCIEAS</identifier><language>eng</language><publisher>United States: American Association for the Advancement of Science</publisher><subject>Action Potentials ; Anatomy ; Animals ; Artificial neural networks ; Axons ; Behavior Patterns ; Biological Evolution ; Brain ; Brain - physiology ; Brain chemistry ; Cell Communication ; Cognition &amp; reasoning ; Communication (Thought Transfer) ; Computer networks ; Electric properties ; Energy ; Energy consumption ; Energy efficiency ; Gray matter ; Humans ; Information networks ; Least Squares Statistics ; Nerve Net - physiology ; Nervous system ; Networks ; Neural network ; Neural networks ; Neurology ; Neuronal Plasticity ; Neurons ; Neurons - physiology ; Neuroscience ; Physiological aspects ; Psychological Patterns ; Resource Allocation ; Reviews ; Signal noise ; Synapses ; Synaptic Transmission</subject><ispartof>Science (American Association for the Advancement of Science), 2003-09, Vol.301 (5641), p.1870-1874</ispartof><rights>Copyright 2003 American Association for the Advancement of Science</rights><rights>COPYRIGHT 2003 American Association for the Advancement of Science</rights><rights>COPYRIGHT 2003 American Association for the Advancement of Science</rights><rights>Copyright American Association for the Advancement of Science Sep 26, 2003</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c894t-cfd5b0fbf69c4b2cad4b63bcd39145f4b0416770ea6a071e099214a2149506c73</citedby><cites>FETCH-LOGICAL-c894t-cfd5b0fbf69c4b2cad4b63bcd39145f4b0416770ea6a071e099214a2149506c73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/213578554/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/213578554?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,776,780,881,2871,2872,21357,21373,27901,27902,33588,33589,33854,33855,43709,43856,58213,58446,73964,74140</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/14512617$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Laughlin, Simon B.</creatorcontrib><creatorcontrib>Sejnowski, Terrence J.</creatorcontrib><title>Communication in Neuronal Networks</title><title>Science (American Association for the Advancement of Science)</title><addtitle>Science</addtitle><description>Brains perform with remarkable efficiency, are capable of prodigious computation, and are marvels of communication. We are beginning to understand some of the geometric, biophysical, and energy constraints that have governed the evolution of cortical networks. To operate efficiently within these constraints, nature has optimized the structure and function of cortical networks with design principles similar to those used in electronic networks. The brain also exploits the adaptability of biological systems to reconfigure in response to changing needs.</description><subject>Action Potentials</subject><subject>Anatomy</subject><subject>Animals</subject><subject>Artificial neural networks</subject><subject>Axons</subject><subject>Behavior Patterns</subject><subject>Biological Evolution</subject><subject>Brain</subject><subject>Brain - physiology</subject><subject>Brain chemistry</subject><subject>Cell Communication</subject><subject>Cognition &amp; reasoning</subject><subject>Communication (Thought Transfer)</subject><subject>Computer networks</subject><subject>Electric properties</subject><subject>Energy</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Gray matter</subject><subject>Humans</subject><subject>Information networks</subject><subject>Least Squares Statistics</subject><subject>Nerve Net - physiology</subject><subject>Nervous system</subject><subject>Networks</subject><subject>Neural network</subject><subject>Neural networks</subject><subject>Neurology</subject><subject>Neuronal Plasticity</subject><subject>Neurons</subject><subject>Neurons - physiology</subject><subject>Neuroscience</subject><subject>Physiological aspects</subject><subject>Psychological Patterns</subject><subject>Resource Allocation</subject><subject>Reviews</subject><subject>Signal noise</subject><subject>Synapses</subject><subject>Synaptic Transmission</subject><issn>0036-8075</issn><issn>1095-9203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>ALSLI</sourceid><sourceid>CJNVE</sourceid><sourceid>M0P</sourceid><recordid>eNqN081v0zAUAHALgVgpnLkgNO0A4pDO344vSFsFZVK1Hvi4Wo7jBJfEHnYy4L_HqNGgqIIqshL5_d6LnLwHwFMEFwhhfp6Ms97YBYKl5BzfAzMEJSskhuQ-mEFIeFFCwU7Ao5S2EOaYJA_BCaIsZyMxA2fL0Pejd0YPLvhT50-v7RiD111-GL6F-CU9Bg8a3SX7ZLrPwce3bz4s3xXrzepqebEuTCnpUJimZhVsqoZLQytsdE0rTipTE5lf19AKUsSFgFZzDQWyUEqMqM5LMsiNIHPwelf3Zqx6Wxvrh6g7dRNdr-MPFbRT-xHvPqs23CosCcxVcoEXU4EYvo42Dap3ydiu096GMSnBBMKCkgxf_htSgnCJcfnfkqgsCZYcZXj2F9yGMebPmBRGhImSMZpRsUOt7qxyvgn5HKa13ubjBG8bl7cvEIJQcJp_4RwsDvh81bZ35mDCq72EbAb7fWj1mJK6en99vN18Ot5ero625Wq9b4tD1oSus61Vub2Wm31_vvMmhpSibe66A0H1ayDUNBBqGoic8fzPpvrtpwnI4NkObNMQ4l2clIQhwchPw-sJiQ</recordid><startdate>20030926</startdate><enddate>20030926</enddate><creator>Laughlin, Simon B.</creator><creator>Sejnowski, Terrence J.</creator><general>American Association for the Advancement of Science</general><general>The American Association for the Advancement of Science</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>8GL</scope><scope>IBG</scope><scope>IOV</scope><scope>ISN</scope><scope>0-V</scope><scope>3V.</scope><scope>7QF</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7SS</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7TM</scope><scope>7U5</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88B</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>D1I</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9-</scope><scope>K9.</scope><scope>KB.</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0K</scope><scope>M0P</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>RC3</scope><scope>7QO</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20030926</creationdate><title>Communication in Neuronal Networks</title><author>Laughlin, Simon B. ; Sejnowski, Terrence J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c894t-cfd5b0fbf69c4b2cad4b63bcd39145f4b0416770ea6a071e099214a2149506c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Action Potentials</topic><topic>Anatomy</topic><topic>Animals</topic><topic>Artificial neural networks</topic><topic>Axons</topic><topic>Behavior Patterns</topic><topic>Biological Evolution</topic><topic>Brain</topic><topic>Brain - physiology</topic><topic>Brain chemistry</topic><topic>Cell Communication</topic><topic>Cognition &amp; reasoning</topic><topic>Communication (Thought Transfer)</topic><topic>Computer networks</topic><topic>Electric properties</topic><topic>Energy</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Gray matter</topic><topic>Humans</topic><topic>Information networks</topic><topic>Least Squares Statistics</topic><topic>Nerve Net - physiology</topic><topic>Nervous system</topic><topic>Networks</topic><topic>Neural network</topic><topic>Neural networks</topic><topic>Neurology</topic><topic>Neuronal Plasticity</topic><topic>Neurons</topic><topic>Neurons - physiology</topic><topic>Neuroscience</topic><topic>Physiological aspects</topic><topic>Psychological Patterns</topic><topic>Resource Allocation</topic><topic>Reviews</topic><topic>Signal noise</topic><topic>Synapses</topic><topic>Synaptic Transmission</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Laughlin, Simon B.</creatorcontrib><creatorcontrib>Sejnowski, Terrence J.</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: High School</collection><collection>Biography In Context</collection><collection>Opposing Viewpoints In Context</collection><collection>Gale In Context: Canada</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Aluminium Industry Abstracts</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Education Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>METADEX</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>Research Library (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</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>Research Library Prep</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Agriculture Science Database</collection><collection>Education Database</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>ProQuest Science Journals</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Education</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>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>Genetics Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Science (American Association for the Advancement of Science)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Laughlin, Simon B.</au><au>Sejnowski, Terrence J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Communication in Neuronal Networks</atitle><jtitle>Science (American Association for the Advancement of Science)</jtitle><addtitle>Science</addtitle><date>2003-09-26</date><risdate>2003</risdate><volume>301</volume><issue>5641</issue><spage>1870</spage><epage>1874</epage><pages>1870-1874</pages><issn>0036-8075</issn><eissn>1095-9203</eissn><coden>SCIEAS</coden><abstract>Brains perform with remarkable efficiency, are capable of prodigious computation, and are marvels of communication. We are beginning to understand some of the geometric, biophysical, and energy constraints that have governed the evolution of cortical networks. To operate efficiently within these constraints, nature has optimized the structure and function of cortical networks with design principles similar to those used in electronic networks. The brain also exploits the adaptability of biological systems to reconfigure in response to changing needs.</abstract><cop>United States</cop><pub>American Association for the Advancement of Science</pub><pmid>14512617</pmid><doi>10.1126/science.1089662</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0036-8075
ispartof Science (American Association for the Advancement of Science), 2003-09, Vol.301 (5641), p.1870-1874
issn 0036-8075
1095-9203
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2930149
source Science Magazine; JSTOR Archival Journals and Primary Sources Collection; Social Science Premium Collection; Alma/SFX Local Collection; Education Collection
subjects Action Potentials
Anatomy
Animals
Artificial neural networks
Axons
Behavior Patterns
Biological Evolution
Brain
Brain - physiology
Brain chemistry
Cell Communication
Cognition & reasoning
Communication (Thought Transfer)
Computer networks
Electric properties
Energy
Energy consumption
Energy efficiency
Gray matter
Humans
Information networks
Least Squares Statistics
Nerve Net - physiology
Nervous system
Networks
Neural network
Neural networks
Neurology
Neuronal Plasticity
Neurons
Neurons - physiology
Neuroscience
Physiological aspects
Psychological Patterns
Resource Allocation
Reviews
Signal noise
Synapses
Synaptic Transmission
title Communication in Neuronal Networks
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T17%3A10%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Communication%20in%20Neuronal%20Networks&rft.jtitle=Science%20(American%20Association%20for%20the%20Advancement%20of%20Science)&rft.au=Laughlin,%20Simon%20B.&rft.date=2003-09-26&rft.volume=301&rft.issue=5641&rft.spage=1870&rft.epage=1874&rft.pages=1870-1874&rft.issn=0036-8075&rft.eissn=1095-9203&rft.coden=SCIEAS&rft_id=info:doi/10.1126/science.1089662&rft_dat=%3Cgale_pubme%3EA110076420%3C/gale_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c894t-cfd5b0fbf69c4b2cad4b63bcd39145f4b0416770ea6a071e099214a2149506c73%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=213578554&rft_id=info:pmid/14512617&rft_galeid=A110076420&rft_jstor_id=3835175&rfr_iscdi=true