Activation of neuronal ensembles via controlled synchronization
Abstract In this contribution we present the activation of neuronal ensembles of Hindmarsh-Rose neurons by controlled synchronization. The main problem consists in to impose a particular spiking-bursting behavior in all the neurons of the network. We consider a network where the neurons are in its r...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Solís-Perales, Gualberto [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2016 |
|---|
| Übergeordnetes Werk: |
Enthalten in: International Journal of Control, Automation and Systems - Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009, 15(2016), 1 vom: 23. Dez., Seite 122-128 |
|---|---|
| Übergeordnetes Werk: |
volume:15 ; year:2016 ; number:1 ; day:23 ; month:12 ; pages:122-128 |
| Links: |
|---|
| DOI / URN: |
10.1007/s12555-015-0203-z |
|---|
| Katalog-ID: |
SPR026431025 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | SPR026431025 | ||
| 003 | DE-627 | ||
| 005 | 20230331230327.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 201007s2016 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s12555-015-0203-z |2 doi | |
| 035 | |a (DE-627)SPR026431025 | ||
| 035 | |a (SPR)s12555-015-0203-z-e | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Solís-Perales, Gualberto |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Activation of neuronal ensembles via controlled synchronization |
| 264 | 1 | |c 2016 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a © Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2016 | ||
| 520 | |a Abstract In this contribution we present the activation of neuronal ensembles of Hindmarsh-Rose neurons by controlled synchronization. The main problem consists in to impose a particular spiking-bursting behavior in all the neurons of the network. We consider a network where the neurons are in its resting state, it is desired that the neurons change their resting state to a particular behavior of activation, dictated by a neuron called the reference neuron. The goal is reached by controlling some neurons in the network controlling only the membrane potential (electrical synapse). The key feature of the present contribution is that by controlling a small number of neurons in the network a desired behavior is induced in all the neurons in the network despite its network topology. The important parameters are the control gain and the coupling strength, thus the activation of the network lays down on a compromise between the control gain and the coupling strength. | ||
| 650 | 4 | |a Complex networks |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a control of complex networks |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a neuron activation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a synchronization |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Barajas-Ramírez, Juan Gonzalo |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t International Journal of Control, Automation and Systems |d Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009 |g 15(2016), 1 vom: 23. Dez., Seite 122-128 |w (DE-627)SPR026303256 |7 nnns |
| 773 | 1 | 8 | |g volume:15 |g year:2016 |g number:1 |g day:23 |g month:12 |g pages:122-128 |
| 856 | 4 | 0 | |u https://dx.doi.org/10.1007/s12555-015-0203-z |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_SPRINGER | ||
| 912 | |a GBV_ILN_21 | ||
| 912 | |a GBV_ILN_24 | ||
| 912 | |a GBV_ILN_72 | ||
| 912 | |a GBV_ILN_181 | ||
| 912 | |a GBV_ILN_496 | ||
| 912 | |a GBV_ILN_2002 | ||
| 912 | |a GBV_ILN_2003 | ||
| 912 | |a GBV_ILN_2007 | ||
| 912 | |a GBV_ILN_2008 | ||
| 912 | |a GBV_ILN_2009 | ||
| 912 | |a GBV_ILN_2011 | ||
| 912 | |a GBV_ILN_2060 | ||
| 912 | |a GBV_ILN_2470 | ||
| 951 | |a AR | ||
| 952 | |d 15 |j 2016 |e 1 |b 23 |c 12 |h 122-128 | ||
| author_variant |
g s p gsp j g b r jgb jgbr |
|---|---|
| matchkey_str |
solsperalesgualbertobarajasramrezjuangon:2016----:ciainfernlnebevaotold |
| hierarchy_sort_str |
2016 |
| publishDate |
2016 |
| allfields |
10.1007/s12555-015-0203-z doi (DE-627)SPR026431025 (SPR)s12555-015-0203-z-e DE-627 ger DE-627 rakwb eng Solís-Perales, Gualberto verfasserin aut Activation of neuronal ensembles via controlled synchronization 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2016 Abstract In this contribution we present the activation of neuronal ensembles of Hindmarsh-Rose neurons by controlled synchronization. The main problem consists in to impose a particular spiking-bursting behavior in all the neurons of the network. We consider a network where the neurons are in its resting state, it is desired that the neurons change their resting state to a particular behavior of activation, dictated by a neuron called the reference neuron. The goal is reached by controlling some neurons in the network controlling only the membrane potential (electrical synapse). The key feature of the present contribution is that by controlling a small number of neurons in the network a desired behavior is induced in all the neurons in the network despite its network topology. The important parameters are the control gain and the coupling strength, thus the activation of the network lays down on a compromise between the control gain and the coupling strength. Complex networks (dpeaa)DE-He213 control of complex networks (dpeaa)DE-He213 neuron activation (dpeaa)DE-He213 synchronization (dpeaa)DE-He213 Barajas-Ramírez, Juan Gonzalo aut Enthalten in International Journal of Control, Automation and Systems Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009 15(2016), 1 vom: 23. Dez., Seite 122-128 (DE-627)SPR026303256 nnns volume:15 year:2016 number:1 day:23 month:12 pages:122-128 https://dx.doi.org/10.1007/s12555-015-0203-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_21 GBV_ILN_24 GBV_ILN_72 GBV_ILN_181 GBV_ILN_496 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2060 GBV_ILN_2470 AR 15 2016 1 23 12 122-128 |
| spelling |
10.1007/s12555-015-0203-z doi (DE-627)SPR026431025 (SPR)s12555-015-0203-z-e DE-627 ger DE-627 rakwb eng Solís-Perales, Gualberto verfasserin aut Activation of neuronal ensembles via controlled synchronization 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2016 Abstract In this contribution we present the activation of neuronal ensembles of Hindmarsh-Rose neurons by controlled synchronization. The main problem consists in to impose a particular spiking-bursting behavior in all the neurons of the network. We consider a network where the neurons are in its resting state, it is desired that the neurons change their resting state to a particular behavior of activation, dictated by a neuron called the reference neuron. The goal is reached by controlling some neurons in the network controlling only the membrane potential (electrical synapse). The key feature of the present contribution is that by controlling a small number of neurons in the network a desired behavior is induced in all the neurons in the network despite its network topology. The important parameters are the control gain and the coupling strength, thus the activation of the network lays down on a compromise between the control gain and the coupling strength. Complex networks (dpeaa)DE-He213 control of complex networks (dpeaa)DE-He213 neuron activation (dpeaa)DE-He213 synchronization (dpeaa)DE-He213 Barajas-Ramírez, Juan Gonzalo aut Enthalten in International Journal of Control, Automation and Systems Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009 15(2016), 1 vom: 23. Dez., Seite 122-128 (DE-627)SPR026303256 nnns volume:15 year:2016 number:1 day:23 month:12 pages:122-128 https://dx.doi.org/10.1007/s12555-015-0203-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_21 GBV_ILN_24 GBV_ILN_72 GBV_ILN_181 GBV_ILN_496 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2060 GBV_ILN_2470 AR 15 2016 1 23 12 122-128 |
| allfields_unstemmed |
10.1007/s12555-015-0203-z doi (DE-627)SPR026431025 (SPR)s12555-015-0203-z-e DE-627 ger DE-627 rakwb eng Solís-Perales, Gualberto verfasserin aut Activation of neuronal ensembles via controlled synchronization 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2016 Abstract In this contribution we present the activation of neuronal ensembles of Hindmarsh-Rose neurons by controlled synchronization. The main problem consists in to impose a particular spiking-bursting behavior in all the neurons of the network. We consider a network where the neurons are in its resting state, it is desired that the neurons change their resting state to a particular behavior of activation, dictated by a neuron called the reference neuron. The goal is reached by controlling some neurons in the network controlling only the membrane potential (electrical synapse). The key feature of the present contribution is that by controlling a small number of neurons in the network a desired behavior is induced in all the neurons in the network despite its network topology. The important parameters are the control gain and the coupling strength, thus the activation of the network lays down on a compromise between the control gain and the coupling strength. Complex networks (dpeaa)DE-He213 control of complex networks (dpeaa)DE-He213 neuron activation (dpeaa)DE-He213 synchronization (dpeaa)DE-He213 Barajas-Ramírez, Juan Gonzalo aut Enthalten in International Journal of Control, Automation and Systems Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009 15(2016), 1 vom: 23. Dez., Seite 122-128 (DE-627)SPR026303256 nnns volume:15 year:2016 number:1 day:23 month:12 pages:122-128 https://dx.doi.org/10.1007/s12555-015-0203-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_21 GBV_ILN_24 GBV_ILN_72 GBV_ILN_181 GBV_ILN_496 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2060 GBV_ILN_2470 AR 15 2016 1 23 12 122-128 |
| allfieldsGer |
10.1007/s12555-015-0203-z doi (DE-627)SPR026431025 (SPR)s12555-015-0203-z-e DE-627 ger DE-627 rakwb eng Solís-Perales, Gualberto verfasserin aut Activation of neuronal ensembles via controlled synchronization 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2016 Abstract In this contribution we present the activation of neuronal ensembles of Hindmarsh-Rose neurons by controlled synchronization. The main problem consists in to impose a particular spiking-bursting behavior in all the neurons of the network. We consider a network where the neurons are in its resting state, it is desired that the neurons change their resting state to a particular behavior of activation, dictated by a neuron called the reference neuron. The goal is reached by controlling some neurons in the network controlling only the membrane potential (electrical synapse). The key feature of the present contribution is that by controlling a small number of neurons in the network a desired behavior is induced in all the neurons in the network despite its network topology. The important parameters are the control gain and the coupling strength, thus the activation of the network lays down on a compromise between the control gain and the coupling strength. Complex networks (dpeaa)DE-He213 control of complex networks (dpeaa)DE-He213 neuron activation (dpeaa)DE-He213 synchronization (dpeaa)DE-He213 Barajas-Ramírez, Juan Gonzalo aut Enthalten in International Journal of Control, Automation and Systems Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009 15(2016), 1 vom: 23. Dez., Seite 122-128 (DE-627)SPR026303256 nnns volume:15 year:2016 number:1 day:23 month:12 pages:122-128 https://dx.doi.org/10.1007/s12555-015-0203-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_21 GBV_ILN_24 GBV_ILN_72 GBV_ILN_181 GBV_ILN_496 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2060 GBV_ILN_2470 AR 15 2016 1 23 12 122-128 |
| allfieldsSound |
10.1007/s12555-015-0203-z doi (DE-627)SPR026431025 (SPR)s12555-015-0203-z-e DE-627 ger DE-627 rakwb eng Solís-Perales, Gualberto verfasserin aut Activation of neuronal ensembles via controlled synchronization 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2016 Abstract In this contribution we present the activation of neuronal ensembles of Hindmarsh-Rose neurons by controlled synchronization. The main problem consists in to impose a particular spiking-bursting behavior in all the neurons of the network. We consider a network where the neurons are in its resting state, it is desired that the neurons change their resting state to a particular behavior of activation, dictated by a neuron called the reference neuron. The goal is reached by controlling some neurons in the network controlling only the membrane potential (electrical synapse). The key feature of the present contribution is that by controlling a small number of neurons in the network a desired behavior is induced in all the neurons in the network despite its network topology. The important parameters are the control gain and the coupling strength, thus the activation of the network lays down on a compromise between the control gain and the coupling strength. Complex networks (dpeaa)DE-He213 control of complex networks (dpeaa)DE-He213 neuron activation (dpeaa)DE-He213 synchronization (dpeaa)DE-He213 Barajas-Ramírez, Juan Gonzalo aut Enthalten in International Journal of Control, Automation and Systems Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009 15(2016), 1 vom: 23. Dez., Seite 122-128 (DE-627)SPR026303256 nnns volume:15 year:2016 number:1 day:23 month:12 pages:122-128 https://dx.doi.org/10.1007/s12555-015-0203-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_21 GBV_ILN_24 GBV_ILN_72 GBV_ILN_181 GBV_ILN_496 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2060 GBV_ILN_2470 AR 15 2016 1 23 12 122-128 |
| language |
English |
| source |
Enthalten in International Journal of Control, Automation and Systems 15(2016), 1 vom: 23. Dez., Seite 122-128 volume:15 year:2016 number:1 day:23 month:12 pages:122-128 |
| sourceStr |
Enthalten in International Journal of Control, Automation and Systems 15(2016), 1 vom: 23. Dez., Seite 122-128 volume:15 year:2016 number:1 day:23 month:12 pages:122-128 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Complex networks control of complex networks neuron activation synchronization |
| isfreeaccess_bool |
false |
| container_title |
International Journal of Control, Automation and Systems |
| authorswithroles_txt_mv |
Solís-Perales, Gualberto @@aut@@ Barajas-Ramírez, Juan Gonzalo @@aut@@ |
| publishDateDaySort_date |
2016-12-23T00:00:00Z |
| hierarchy_top_id |
SPR026303256 |
| id |
SPR026431025 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR026431025</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230331230327.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12555-015-0203-z</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR026431025</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12555-015-0203-z-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Solís-Perales, Gualberto</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Activation of neuronal ensembles via controlled synchronization</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2016</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this contribution we present the activation of neuronal ensembles of Hindmarsh-Rose neurons by controlled synchronization. The main problem consists in to impose a particular spiking-bursting behavior in all the neurons of the network. We consider a network where the neurons are in its resting state, it is desired that the neurons change their resting state to a particular behavior of activation, dictated by a neuron called the reference neuron. The goal is reached by controlling some neurons in the network controlling only the membrane potential (electrical synapse). The key feature of the present contribution is that by controlling a small number of neurons in the network a desired behavior is induced in all the neurons in the network despite its network topology. The important parameters are the control gain and the coupling strength, thus the activation of the network lays down on a compromise between the control gain and the coupling strength.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Complex networks</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">control of complex networks</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">neuron activation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">synchronization</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Barajas-Ramírez, Juan Gonzalo</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International Journal of Control, Automation and Systems</subfield><subfield code="d">Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009</subfield><subfield code="g">15(2016), 1 vom: 23. Dez., Seite 122-128</subfield><subfield code="w">(DE-627)SPR026303256</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:15</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:1</subfield><subfield code="g">day:23</subfield><subfield code="g">month:12</subfield><subfield code="g">pages:122-128</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s12555-015-0203-z</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_72</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_181</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_496</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2002</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2060</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">15</subfield><subfield code="j">2016</subfield><subfield code="e">1</subfield><subfield code="b">23</subfield><subfield code="c">12</subfield><subfield code="h">122-128</subfield></datafield></record></collection>
|
| author |
Solís-Perales, Gualberto |
| spellingShingle |
Solís-Perales, Gualberto misc Complex networks misc control of complex networks misc neuron activation misc synchronization Activation of neuronal ensembles via controlled synchronization |
| authorStr |
Solís-Perales, Gualberto |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)SPR026303256 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut aut |
| collection |
springer |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
Activation of neuronal ensembles via controlled synchronization Complex networks (dpeaa)DE-He213 control of complex networks (dpeaa)DE-He213 neuron activation (dpeaa)DE-He213 synchronization (dpeaa)DE-He213 |
| topic |
misc Complex networks misc control of complex networks misc neuron activation misc synchronization |
| topic_unstemmed |
misc Complex networks misc control of complex networks misc neuron activation misc synchronization |
| topic_browse |
misc Complex networks misc control of complex networks misc neuron activation misc synchronization |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
cr |
| hierarchy_parent_title |
International Journal of Control, Automation and Systems |
| hierarchy_parent_id |
SPR026303256 |
| hierarchy_top_title |
International Journal of Control, Automation and Systems |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)SPR026303256 |
| title |
Activation of neuronal ensembles via controlled synchronization |
| ctrlnum |
(DE-627)SPR026431025 (SPR)s12555-015-0203-z-e |
| title_full |
Activation of neuronal ensembles via controlled synchronization |
| author_sort |
Solís-Perales, Gualberto |
| journal |
International Journal of Control, Automation and Systems |
| journalStr |
International Journal of Control, Automation and Systems |
| lang_code |
eng |
| isOA_bool |
false |
| recordtype |
marc |
| publishDateSort |
2016 |
| contenttype_str_mv |
txt |
| container_start_page |
122 |
| author_browse |
Solís-Perales, Gualberto Barajas-Ramírez, Juan Gonzalo |
| container_volume |
15 |
| format_se |
Elektronische Aufsätze |
| author-letter |
Solís-Perales, Gualberto |
| doi_str_mv |
10.1007/s12555-015-0203-z |
| title_sort |
activation of neuronal ensembles via controlled synchronization |
| title_auth |
Activation of neuronal ensembles via controlled synchronization |
| abstract |
Abstract In this contribution we present the activation of neuronal ensembles of Hindmarsh-Rose neurons by controlled synchronization. The main problem consists in to impose a particular spiking-bursting behavior in all the neurons of the network. We consider a network where the neurons are in its resting state, it is desired that the neurons change their resting state to a particular behavior of activation, dictated by a neuron called the reference neuron. The goal is reached by controlling some neurons in the network controlling only the membrane potential (electrical synapse). The key feature of the present contribution is that by controlling a small number of neurons in the network a desired behavior is induced in all the neurons in the network despite its network topology. The important parameters are the control gain and the coupling strength, thus the activation of the network lays down on a compromise between the control gain and the coupling strength. © Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2016 |
| abstractGer |
Abstract In this contribution we present the activation of neuronal ensembles of Hindmarsh-Rose neurons by controlled synchronization. The main problem consists in to impose a particular spiking-bursting behavior in all the neurons of the network. We consider a network where the neurons are in its resting state, it is desired that the neurons change their resting state to a particular behavior of activation, dictated by a neuron called the reference neuron. The goal is reached by controlling some neurons in the network controlling only the membrane potential (electrical synapse). The key feature of the present contribution is that by controlling a small number of neurons in the network a desired behavior is induced in all the neurons in the network despite its network topology. The important parameters are the control gain and the coupling strength, thus the activation of the network lays down on a compromise between the control gain and the coupling strength. © Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2016 |
| abstract_unstemmed |
Abstract In this contribution we present the activation of neuronal ensembles of Hindmarsh-Rose neurons by controlled synchronization. The main problem consists in to impose a particular spiking-bursting behavior in all the neurons of the network. We consider a network where the neurons are in its resting state, it is desired that the neurons change their resting state to a particular behavior of activation, dictated by a neuron called the reference neuron. The goal is reached by controlling some neurons in the network controlling only the membrane potential (electrical synapse). The key feature of the present contribution is that by controlling a small number of neurons in the network a desired behavior is induced in all the neurons in the network despite its network topology. The important parameters are the control gain and the coupling strength, thus the activation of the network lays down on a compromise between the control gain and the coupling strength. © Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2016 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_21 GBV_ILN_24 GBV_ILN_72 GBV_ILN_181 GBV_ILN_496 GBV_ILN_2002 GBV_ILN_2003 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2060 GBV_ILN_2470 |
| container_issue |
1 |
| title_short |
Activation of neuronal ensembles via controlled synchronization |
| url |
https://dx.doi.org/10.1007/s12555-015-0203-z |
| remote_bool |
true |
| author2 |
Barajas-Ramírez, Juan Gonzalo |
| author2Str |
Barajas-Ramírez, Juan Gonzalo |
| ppnlink |
SPR026303256 |
| mediatype_str_mv |
c |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s12555-015-0203-z |
| up_date |
2024-07-03T20:45:53.023Z |
| _version_ |
1803592194352742401 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR026431025</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230331230327.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12555-015-0203-z</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR026431025</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12555-015-0203-z-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Solís-Perales, Gualberto</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Activation of neuronal ensembles via controlled synchronization</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2016</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this contribution we present the activation of neuronal ensembles of Hindmarsh-Rose neurons by controlled synchronization. The main problem consists in to impose a particular spiking-bursting behavior in all the neurons of the network. We consider a network where the neurons are in its resting state, it is desired that the neurons change their resting state to a particular behavior of activation, dictated by a neuron called the reference neuron. The goal is reached by controlling some neurons in the network controlling only the membrane potential (electrical synapse). The key feature of the present contribution is that by controlling a small number of neurons in the network a desired behavior is induced in all the neurons in the network despite its network topology. The important parameters are the control gain and the coupling strength, thus the activation of the network lays down on a compromise between the control gain and the coupling strength.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Complex networks</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">control of complex networks</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">neuron activation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">synchronization</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Barajas-Ramírez, Juan Gonzalo</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International Journal of Control, Automation and Systems</subfield><subfield code="d">Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009</subfield><subfield code="g">15(2016), 1 vom: 23. Dez., Seite 122-128</subfield><subfield code="w">(DE-627)SPR026303256</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:15</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:1</subfield><subfield code="g">day:23</subfield><subfield code="g">month:12</subfield><subfield code="g">pages:122-128</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s12555-015-0203-z</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_72</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_181</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_496</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2002</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2060</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">15</subfield><subfield code="j">2016</subfield><subfield code="e">1</subfield><subfield code="b">23</subfield><subfield code="c">12</subfield><subfield code="h">122-128</subfield></datafield></record></collection>
|
| score |
7.3998976 |