Oscillations in the bistable regime of neuronal networks
Bistability between attracting fixed points in neuronal networks has been hypothesized to underlie persistent activity observed in several cortical areas during working memory tasks. In network models this kind of bistability arises due to strong recurrent excitation, sufficient to generate a state...
| Authors: | ; |
|---|---|
| Format: | Article |
| Status: | Published version |
| Publication date: | 2016 |
| Country: | España |
| Institution: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repository: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:2445/208084 |
| Online Access: | https://hdl.handle.net/2445/208084 |
| Access Level: | Open access |
| Keyword: | Cervell Neurones Brain Neurons |
| _version_ | 1878737677065388032 |
|---|---|
| author | Roxin, Alex |
| author2 | Compte Braquets, Albert |
| author2_role | author |
| author_browse | Compte Braquets, Albert Roxin, Alex |
| author_facet | Roxin, Alex Compte Braquets, Albert |
| author_role | author |
| collection | Recercat. Dipósit de la Recerca de Catalunya |
| description | Bistability between attracting fixed points in neuronal networks has been hypothesized to underlie persistent activity observed in several cortical areas during working memory tasks. In network models this kind of bistability arises due to strong recurrent excitation, sufficient to generate a state of high activity created in a saddle-node (SN) bifurcation. On the other hand, canonical network models of excitatory and inhibitory neurons (E-I networks) robustly produce oscillatory states via a Hopf (H) bifurcation due to the E-I loop. This mechanism for generating oscillations has been invoked to explain the emergence of brain rhythms in the ? to ? bands. Although both bistability and oscillatory activity have been intensively studied in network models, there has not been much focus on the coincidence of the two. Here we show that when oscillations emerge in E-I networks in the bistable regime, their phenomenology can be explained to a large extent by considering coincident SN and H bifurcations, known as a codimension two Takens-Bogdanov bifurcation. In particular, we find that such oscillations are not composed of a stable limit cycle, but rather are due to noise-driven oscillatory fluctuations. Furthermore, oscillations in the bistable regime can, in principle, have arbitrarily low frequency. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_a34a8abffc2ef15bfbbfa795b6ab6fbf |
| institution | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| instname_str | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:recercat.cat:2445/208084 |
| publishDate | 2016 |
| publishDateSort | 2016 |
| publisher | American Physical Society (APS) |
| publisherStr | American Physical Society (APS) |
| reponame_str | Recercat. Dipósit de la Recerca de Catalunya |
| spelling | Oscillations in the bistable regime of neuronal networks Roxin, Alex Compte Braquets, Albert Cervell Neurones Brain Neurons Bistability between attracting fixed points in neuronal networks has been hypothesized to underlie persistent activity observed in several cortical areas during working memory tasks. In network models this kind of bistability arises due to strong recurrent excitation, sufficient to generate a state of high activity created in a saddle-node (SN) bifurcation. On the other hand, canonical network models of excitatory and inhibitory neurons (E-I networks) robustly produce oscillatory states via a Hopf (H) bifurcation due to the E-I loop. This mechanism for generating oscillations has been invoked to explain the emergence of brain rhythms in the ? to ? bands. Although both bistability and oscillatory activity have been intensively studied in network models, there has not been much focus on the coincidence of the two. Here we show that when oscillations emerge in E-I networks in the bistable regime, their phenomenology can be explained to a large extent by considering coincident SN and H bifurcations, known as a codimension two Takens-Bogdanov bifurcation. In particular, we find that such oscillations are not composed of a stable limit cycle, but rather are due to noise-driven oscillatory fluctuations. Furthermore, oscillations in the bistable regime can, in principle, have arbitrarily low frequency. American Physical Society (APS) https://hdl.handle.net/2445/208084 |
| spellingShingle | Oscillations in the bistable regime of neuronal networks Roxin, Alex Cervell Neurones Brain Neurons |
| status_str | publishedVersion |
| title | Oscillations in the bistable regime of neuronal networks |
| title_full | Oscillations in the bistable regime of neuronal networks |
| title_fullStr | Oscillations in the bistable regime of neuronal networks |
| title_full_unstemmed | Oscillations in the bistable regime of neuronal networks |
| title_short | Oscillations in the bistable regime of neuronal networks |
| title_sort | Oscillations in the bistable regime of neuronal networks |
| topic | Cervell Neurones Brain Neurons |
| topic_facet | Cervell Neurones Brain Neurons |
| url | https://hdl.handle.net/2445/208084 |