Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Recovery of dynamics and function in spiking neural networks with closed-loop control
KTH, Skolan för datavetenskap och kommunikation (CSC), Beräkningsvetenskap och beräkningsteknik (CST). University of Freiburg, Germany.ORCID-id: 0000-0002-8044-9195
2016 (engelsk)Inngår i: PloS Computational Biology, ISSN 1553-734X, E-ISSN 1553-7358, Vol. 12, nr 2, s. e1004720-Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

There is a growing interest in developing novel brain stimulation methods to control disease-related aberrant neural activity and to address basic neuroscience questions. Conventional methods for manipulating brain activity rely on open-loop approaches that usually lead to excessive stimulation and, crucially, do not restore the original computations performed by the network. Thus, they are often accompanied by undesired side-effects. Here, we introduce delayed feedback control (DFC), a conceptually simple but effective method, to control pathological oscillations in spiking neural networks (SNNs). Using mathematical analysis and numerical simulations we show that DFC can restore a wide range of aberrant network dynamics either by suppressing or enhancing synchronous irregular activity. Importantly, DFC, besides steering the system back to a healthy state, also recovers the computations performed by the underlying network. Finally, using our theory we identify the role of single neuron and synapse properties in determining the stability of the closed-loop system.

sted, utgiver, år, opplag, sider
PLOS , 2016. Vol. 12, nr 2, s. e1004720-
HSV kategori
Forskningsprogram
Biologisk fysik
Identifikatorer
URN: urn:nbn:se:kth:diva-181419DOI: 10.1371/journal.pcbi.1004720ISI: 000376582900042Scopus ID: 2-s2.0-84959559209OAI: oai:DiVA.org:kth-181419DiVA, id: diva2:899449
Merknad

QC 20160210

Tilgjengelig fra: 2016-02-01 Laget: 2016-02-01 Sist oppdatert: 2019-10-02bibliografisk kontrollert

Open Access i DiVA

fulltext(4964 kB)107 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 4964 kBChecksum SHA-512
a4b7174b0069fa184a615cff3df3bb732ea5bccdddb615860aa18034a9f8cd0810a5bf9c1a169311a0bc944df36e0b3cac125db8cc81f8dad26d1a110e0c5b34
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopus

Søk i DiVA

Av forfatter/redaktør
Kumar, Arvind
Av organisasjonen
I samme tidsskrift
PloS Computational Biology

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 107 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 200 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf