Dynamical Criticality in the Collective Activity of a Population of Retinal Neurons

Recent experimental results based on multielectrode and imaging techniques have reinvigorated the idea that large neural networks operate near a critical point, between order and disorder. However, evidence for criticality has relied on the definition of arbitrary order parameters, or on models that...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Physical review letters Ročník 114; číslo 7; s. 078105
Hlavní autoři: Mora, Thierry, Deny, Stéphane, Marre, Olivier
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States American Physical Society 20.02.2015
Témata:
Animals
Critical point
Disorders
Life Sciences
Models, Neurological
Networks
Neural networks
Neurons
Order parameters
Rats
Retina
Retinal Ganglion Cells
Retinal Ganglion Cells - chemistry
Retinal Ganglion Cells - physiology
Statistics
Thermodynamics
ISSN:0031-9007, 1079-7114
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Recent experimental results based on multielectrode and imaging techniques have reinvigorated the idea that large neural networks operate near a critical point, between order and disorder. However, evidence for criticality has relied on the definition of arbitrary order parameters, or on models that do not address the dynamical nature of network activity. Here we introduce a novel approach to assess criticality that overcomes these limitations, while encompassing and generalizing previous criteria. We find a simple model to describe the global activity of large populations of ganglion cells in the rat retina, and show that their statistics are poised near a critical point. Taking into account the temporal dynamics of the activity greatly enhances the evidence for criticality, revealing it where previous methods would not. The approach is general and could be used in other biological networks.
AbstractList Recent experimental results based on multielectrode and imaging techniques have reinvigorated the idea that large neural networks operate near a critical point, between order and disorder. However, evidence for criticality has relied on the definition of arbitrary order parameters, or on models that do not address the dynamical nature of network activity. Here we introduce a novel approach to assess criticality that overcomes these limitations, while encompassing and generalizing previous criteria. We find a simple model to describe the global activity of large populations of ganglion cells in the rat retina, and show that their statistics are poised near a critical point. Taking into account the temporal dynamics of the activity greatly enhances the evidence for criticality, revealing it where previous methods would not. The approach is general and could be used in other biological networks.
ArticleNumber 078105
Author Marre, Olivier
Deny, Stéphane
Mora, Thierry
Author_xml – sequence: 1
  givenname: Thierry
  surname: Mora
  fullname: Mora, Thierry
– sequence: 2
  givenname: Stéphane
  surname: Deny
  fullname: Deny, Stéphane
– sequence: 3
  givenname: Olivier
  surname: Marre
  fullname: Marre, Olivier
BackLink https://www.ncbi.nlm.nih.gov/pubmed/25763977$$D View this record in MEDLINE/PubMed
https://hal.science/hal-03900128$$DView record in HAL
BookMark eNqFkUFv1DAQhS1URLeFv1DlCIeUsZ3YjsRltVCKtKJVC2fLcSZaI2-8xM5K--_rsKVCXPY09pvvjT16F-RsCAMSckXhmlLgH-83h_iA-zWmlIXqGqSiUL8iCwqyKWWWzsgCgNOyAZDn5CLGXwBAmVBvyDmrpeCNlAvy-PkwmK2zxher0aX54NKhcEORNlisgvdok9tjsZzL3Ap9YYr7sJu8SS4M8_0BkxvyhO84jWGIb8nr3viI757rJfl58-XH6rZc3339tlquS1tJmUqs6o52HBre2r7CXjIFLZNNz2Tf8bapoVWG95a1QqmOQmcp44DKCl5JrpBfkg_HuRvj9W50WzMedDBO3y7XetaAN_PKak8z-_7I7sbwe8KY9NZFi96bAcMUNVX5eVZzwU-jsuGspiDkaVSIitEKOMvo1TM6tVvsXv77N4oMiCNgxxDjiP0LQkHPmet_Ms9CpY-ZZ-On_4zWpT_ZpNE4f8r-BPfntCY
CitedBy_id crossref_primary_10_1162_neco_a_01011
crossref_primary_10_1162_neco_a_01154
crossref_primary_10_3390_e21090884
crossref_primary_10_1016_j_cjph_2021_12_010
crossref_primary_10_3389_fncom_2021_641335
crossref_primary_10_1097_MD_0000000000039309
crossref_primary_10_1103_PhysRevX_13_041053
crossref_primary_10_1146_annurev_conmatphys_031214_014803
crossref_primary_10_1088_1361_6633_aa995b
crossref_primary_10_1073_pnas_1818972116
crossref_primary_10_1038_s41467_021_20890_5
crossref_primary_10_1073_pnas_1718710115
crossref_primary_10_3390_e24050598
crossref_primary_10_1080_00018732_2017_1341604
crossref_primary_10_1103_PhysRevResearch_7_013188
crossref_primary_10_1371_journal_pcbi_1005718
crossref_primary_10_1162_neco_a_01125
crossref_primary_10_1038_s41598_024_60117_3
crossref_primary_10_1016_j_conb_2017_08_001
crossref_primary_10_1103_PhysRevResearch_4_023240
crossref_primary_10_1016_j_conb_2016_03_001
crossref_primary_10_3389_fncir_2020_576727
crossref_primary_10_1073_pnas_1514188112
crossref_primary_10_1103_PhysRevLett_126_118302
crossref_primary_10_1103_PhysRevResearch_6_033070
crossref_primary_10_1038_s42003_020_0774_y
crossref_primary_10_1371_journal_pcbi_1008435
crossref_primary_10_1073_pnas_2021860119
crossref_primary_10_1038_s41598_024_55922_9
crossref_primary_10_1038_s41467_017_02159_y
crossref_primary_10_1371_journal_pcbi_1005763
crossref_primary_10_1146_annurev_physchem_071119_040206
crossref_primary_10_3389_fncom_2020_00020
crossref_primary_10_1016_j_neuron_2017_10_027
crossref_primary_10_1109_TNNLS_2016_2644268
crossref_primary_10_1140_epje_i2018_11621_0
Cites_doi 10.1088/1742-5468/2013/03/P03011
10.1038/nphys1803
10.1103/PhysRevLett.110.018701
10.1103/RevModPhys.85.1115
10.3389/fphys.2012.00015
10.1103/PhysRevLett.84.5232
10.1103/PhysRevLett.102.138101
10.1038/nphys758
10.1103/PhysRevE.89.042707
10.1103/PhysRev.106.620
10.1073/pnas.0904089106
10.1103/PhysRev.108.171
10.1073/pnas.1001705107
10.1073/pnas.1324045111
10.1103/PhysRevLett.108.208102
10.3389/fnint.2012.00044
10.1073/pnas.0805923106
10.1103/PhysRevLett.102.258102
10.1016/j.jphysparis.2011.11.001
10.1523/JNEUROSCI.23-35-11167.2003
10.1007/s10955-011-0229-4
10.1162/089976604323057443
10.1038/nature04701
10.1073/pnas.1324186111
10.1103/PhysRevA.38.364
10.1017/CBO9780511813467
10.1523/JNEUROSCI.1831-12.2012
10.1523/JNEUROSCI.0723-12.2012
ContentType Journal Article
Copyright Distributed under a Creative Commons Attribution 4.0 International License
Copyright_xml – notice: Distributed under a Creative Commons Attribution 4.0 International License
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
7U5
8FD
H8D
L7M
7TK
1XC
DOI 10.1103/PhysRevLett.114.078105
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
Solid State and Superconductivity Abstracts
Technology Research Database
Aerospace Database
Advanced Technologies Database with Aerospace
Neurosciences Abstracts
Hyper Article en Ligne (HAL)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
Aerospace Database
Solid State and Superconductivity Abstracts
Technology Research Database
Advanced Technologies Database with Aerospace
Neurosciences Abstracts
DatabaseTitleList Neurosciences Abstracts
MEDLINE
MEDLINE - Academic
Aerospace Database
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: 7X8
  name: MEDLINE - Academic
  url: https://search.proquest.com/medline
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Physics
Statistics
EISSN 1079-7114
EndPage 078105
ExternalDocumentID oai:HAL:hal-03900128v1
25763977
10_1103_PhysRevLett_114_078105
Genre Research Support, Non-U.S. Gov't
Journal Article
GroupedDBID ---
-DZ
-~X
123
186
2-P
29O
3MX
3O-
41~
5VS
6TJ
85S
8NH
8WZ
9M8
A6W
AAYJJ
AAYXX
ABSSX
ABUFD
ACBEA
ACGFO
ACKIV
ACNCT
ADXHL
AECSF
AENEX
AEQTI
AETEA
AFFNX
AFGMR
AGDNE
AJQPL
ALMA_UNASSIGNED_HOLDINGS
APKKM
AUAIK
CITATION
CS3
D0L
DU5
EBS
EJD
ER.
F5P
H~9
MVM
N9A
NEJ
NHB
NPBMV
OHT
OK1
P0-
P2P
RNS
ROL
S7W
SJN
T9H
TN5
UBC
UBE
VOH
WH7
XOL
XSW
YNT
YYP
ZCG
ZPR
ZY4
~02
CGR
CUY
CVF
ECM
EIF
NPM
7X8
7U5
8FD
H8D
L7M
7TK
1XC
XJT
ID FETCH-LOGICAL-c477t-e45d1d3093bcf4ef7280b279f27fd3b950b8a3fc2b688d10dc1230e8c634738e3
IEDL.DBID 3MX
ISICitedReferencesCount 60
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000349788000012&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0031-9007
IngestDate Tue Oct 14 20:45:21 EDT 2025
Fri Jul 11 13:35:12 EDT 2025
Wed Oct 01 14:20:21 EDT 2025
Sun Nov 09 05:10:40 EST 2025
Mon Jul 21 06:01:29 EDT 2025
Tue Nov 18 21:45:41 EST 2025
Sat Nov 29 01:46:09 EST 2025
IsPeerReviewed true
IsScholarly true
Issue 7
Language English
License http://link.aps.org/licenses/aps-default-license
Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c477t-e45d1d3093bcf4ef7280b279f27fd3b950b8a3fc2b688d10dc1230e8c634738e3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ORCID 0000-0002-5456-9361
0000-0002-0090-6190
PMID 25763977
PQID 1664214032
PQPubID 23479
PageCount 1
ParticipantIDs hal_primary_oai_HAL_hal_03900128v1
proquest_miscellaneous_1872825363
proquest_miscellaneous_1793251067
proquest_miscellaneous_1664214032
pubmed_primary_25763977
crossref_primary_10_1103_PhysRevLett_114_078105
crossref_citationtrail_10_1103_PhysRevLett_114_078105
PublicationCentury 2000
PublicationDate 2015-02-20
PublicationDateYYYYMMDD 2015-02-20
PublicationDate_xml – month: 02
  year: 2015
  text: 2015-02-20
  day: 20
PublicationDecade 2010
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationTitle Physical review letters
PublicationTitleAlternate Phys Rev Lett
PublicationYear 2015
Publisher American Physical Society
Publisher_xml – name: American Physical Society
References PhysRevLett.114.078105Cc3R1
PhysRevLett.114.078105Cc2R1
PhysRevLett.114.078105Cc1R1
PhysRevLett.114.078105Cc26R3
PhysRevLett.114.078105Cc20R1
PhysRevLett.114.078105Cc6R1
PhysRevLett.114.078105Cc21R1
PhysRevLett.114.078105Cc5R1
PhysRevLett.114.078105Cc22R1
PhysRevLett.114.078105Cc4R1
PhysRevLett.114.078105Cc23R1
PhysRevLett.114.078105Cc24R1
J. M. Beggs (PhysRevLett.114.078105Cc7R1) 2003; 23
PhysRevLett.114.078105Cc8R3
PhysRevLett.114.078105Cc25R1
PhysRevLett.114.078105Cc8R2
PhysRevLett.114.078105Cc9R1
PhysRevLett.114.078105Cc26R1
PhysRevLett.114.078105Cc8R1
PhysRevLett.114.078105Cc27R1
PhysRevLett.114.078105Cc17R1
PhysRevLett.114.078105Cc18R1
PhysRevLett.114.078105Cc18R2
PhysRevLett.114.078105Cc19R1
PhysRevLett.114.078105Cc10R1
PhysRevLett.114.078105Cc11R1
P. M. Chaikin (PhysRevLett.114.078105Cc14R1) 1995
PhysRevLett.114.078105Cc16R1
References_xml – ident: PhysRevLett.114.078105Cc11R1
  doi: 10.1088/1742-5468/2013/03/P03011
– ident: PhysRevLett.114.078105Cc1R1
  doi: 10.1038/nphys1803
– ident: PhysRevLett.114.078105Cc25R1
  doi: 10.1103/PhysRevLett.110.018701
– ident: PhysRevLett.114.078105Cc20R1
  doi: 10.1103/RevModPhys.85.1115
– ident: PhysRevLett.114.078105Cc8R3
  doi: 10.3389/fphys.2012.00015
– ident: PhysRevLett.114.078105Cc23R1
  doi: 10.1103/PhysRevLett.84.5232
– ident: PhysRevLett.114.078105Cc21R1
  doi: 10.1103/PhysRevLett.102.138101
– ident: PhysRevLett.114.078105Cc5R1
  doi: 10.1038/nphys758
– ident: PhysRevLett.114.078105Cc26R3
  doi: 10.1103/PhysRevE.89.042707
– ident: PhysRevLett.114.078105Cc18R1
  doi: 10.1103/PhysRev.106.620
– ident: PhysRevLett.114.078105Cc8R1
  doi: 10.1073/pnas.0904089106
– ident: PhysRevLett.114.078105Cc18R2
  doi: 10.1103/PhysRev.108.171
– ident: PhysRevLett.114.078105Cc24R1
  doi: 10.1073/pnas.1001705107
– ident: PhysRevLett.114.078105Cc26R1
  doi: 10.1073/pnas.1324045111
– ident: PhysRevLett.114.078105Cc8R2
  doi: 10.1103/PhysRevLett.108.208102
– ident: PhysRevLett.114.078105Cc9R1
  doi: 10.3389/fnint.2012.00044
– ident: PhysRevLett.114.078105Cc16R1
  doi: 10.1073/pnas.0805923106
– ident: PhysRevLett.114.078105Cc6R1
  doi: 10.1103/PhysRevLett.102.258102
– ident: PhysRevLett.114.078105Cc22R1
  doi: 10.1016/j.jphysparis.2011.11.001
– volume: 23
  start-page: 11167
  issn: 0270-6474
  year: 2003
  ident: PhysRevLett.114.078105Cc7R1
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.23-35-11167.2003
– ident: PhysRevLett.114.078105Cc2R1
  doi: 10.1007/s10955-011-0229-4
– ident: PhysRevLett.114.078105Cc4R1
  doi: 10.1162/089976604323057443
– ident: PhysRevLett.114.078105Cc10R1
  doi: 10.1038/nature04701
– ident: PhysRevLett.114.078105Cc27R1
  doi: 10.1073/pnas.1324186111
– ident: PhysRevLett.114.078105Cc3R1
  doi: 10.1103/PhysRevA.38.364
– volume-title: Principles of Condensed Matter Physics
  year: 1995
  ident: PhysRevLett.114.078105Cc14R1
  doi: 10.1017/CBO9780511813467
– ident: PhysRevLett.114.078105Cc19R1
  doi: 10.1523/JNEUROSCI.1831-12.2012
– ident: PhysRevLett.114.078105Cc17R1
  doi: 10.1523/JNEUROSCI.0723-12.2012
SSID ssj0001268
Score 2.454157
Snippet Recent experimental results based on multielectrode and imaging techniques have reinvigorated the idea that large neural networks operate near a critical...
SourceID hal
proquest
pubmed
crossref
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 078105
SubjectTerms Animals
Critical point
Disorders
Life Sciences
Models, Neurological
Networks
Neural networks
Neurons
Order parameters
Rats
Retina
Retinal Ganglion Cells
Retinal Ganglion Cells - chemistry
Retinal Ganglion Cells - physiology
Statistics
Thermodynamics
Title Dynamical Criticality in the Collective Activity of a Population of Retinal Neurons
URI https://www.ncbi.nlm.nih.gov/pubmed/25763977
https://www.proquest.com/docview/1664214032
https://www.proquest.com/docview/1793251067
https://www.proquest.com/docview/1872825363
https://hal.science/hal-03900128
Volume 114
WOSCitedRecordID wos000349788000012&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVABR
  databaseName: American Physical Society Journals
  customDbUrl:
  eissn: 1079-7114
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001268
  issn: 0031-9007
  databaseCode: 3MX
  dateStart: 20020101
  isFulltext: true
  titleUrlDefault: https://journals.aps.org/
  providerName: American Physical Society
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1ZS8QwEA4qCr54H-tFFF-raSdt0sfFAx9UxAP2raRpigvSFXfd3-9MslsUPPCl0DIpaY6ZL53jY-wYdCqtSnSU1tJEMnYuMmh2IzBozkGT0a892YS6vdW9Xn43w8T3HvxYwClFQt67MWW3UGHbE6pOE4qWakmUBXDTa1VvnGRB9QLFHQg1SQn--TVfrNHsM8VC_gQ0vcG5XP5_V1fY0gRc8m5YDatsxjVrbMEHedrhOns4D_TzKDJlOEAMzvsNRxTI_S8Er_141wZOCT6oueF3LccX3d9TjjS-wVf1aIYb7Ony4vHsKpqQKkRWKjWKnEyruCL_Z2lr6WqipyoTldeJqiso81SU2kBtkzLTuopFZdG2CadtBlKBdrDJ5ppB47YZz1RslBTWGYOgStscLG45I1Rmlax03GHpdHALO6k4TsQXL4U_eQgoPg0YpUcXYcA67LRt9xpqbvzZ4gjnrhWmktlX3euCngnIvbtwjN05nE5tgXuIHCOmcYP3YRFnlO4rBSS_yKAiQyyIxv0XGa0oFRgy6LCtsHbaPtHBjsD2zr8_bpctIkoLefRij82N3t7dPpu341F_-HbgNwBeVU9_AI-3Abs
linkProvider American Physical Society
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Dynamical+Criticality+in+the+Collective+Activity+of+a+Population+of+Retinal+Neurons&rft.jtitle=Physical+review+letters&rft.au=Mora%2C+Thierry&rft.au=Deny%2C+Stephane&rft.au=Marre%2C+Olivier&rft.date=2015-02-20&rft.issn=0031-9007&rft.eissn=1079-7114&rft.volume=114&rft.issue=7&rft_id=info:doi/10.1103%2FPhysRevLett.114.078105&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0031-9007&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0031-9007&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0031-9007&client=summon