The resonance frequency shift, pattern formation, and dynamical network reorganization via sub-threshold input.
We describe a novel mechanism that mediates the rapid and selective pattern formation of neuronal network activity in response to changing correlations of sub-threshold level input. The mechanism is based on the classical resonance and experimentally observed phenomena that the resonance frequency o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2011-04-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3079761?pdf=render |
| _version_ | 1829100487181336576 |
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| author | Troy Lau Michal Zochowski |
| author_facet | Troy Lau Michal Zochowski |
| author_sort | Troy Lau |
| collection | DOAJ |
| description | We describe a novel mechanism that mediates the rapid and selective pattern formation of neuronal network activity in response to changing correlations of sub-threshold level input. The mechanism is based on the classical resonance and experimentally observed phenomena that the resonance frequency of a neuron shifts as a function of membrane depolarization. As the neurons receive varying sub-threshold input, their natural frequency is shifted in and out of its resonance range. In response, the neuron fires a sequence of action potentials, corresponding to the specific values of signal currents, in a highly organized manner. We show that this mechanism provides for the selective activation and phase locking of the cells in the network, underlying input-correlated spatio-temporal pattern formation, and could be the basis for reliable spike-timing dependent plasticity. We compare the selectivity and efficiency of this pattern formation to a supra-threshold network activation and a non-resonating network/neuron model to demonstrate that the resonance mechanism is the most effective. Finally we show that this process might be the basis of the phase precession phenomenon observed during firing of hippocampal place cells, and that it may underlie the active switching of neuronal networks to locking at various frequencies. |
| first_indexed | 2024-12-10T22:33:53Z |
| format | Article |
| id | doaj.art-f2d942960f0446fcac241dd5b0655a03 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-10T22:33:53Z |
| publishDate | 2011-04-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-f2d942960f0446fcac241dd5b0655a032022-12-22T01:31:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-04-0164e1898310.1371/journal.pone.0018983The resonance frequency shift, pattern formation, and dynamical network reorganization via sub-threshold input.Troy LauMichal ZochowskiWe describe a novel mechanism that mediates the rapid and selective pattern formation of neuronal network activity in response to changing correlations of sub-threshold level input. The mechanism is based on the classical resonance and experimentally observed phenomena that the resonance frequency of a neuron shifts as a function of membrane depolarization. As the neurons receive varying sub-threshold input, their natural frequency is shifted in and out of its resonance range. In response, the neuron fires a sequence of action potentials, corresponding to the specific values of signal currents, in a highly organized manner. We show that this mechanism provides for the selective activation and phase locking of the cells in the network, underlying input-correlated spatio-temporal pattern formation, and could be the basis for reliable spike-timing dependent plasticity. We compare the selectivity and efficiency of this pattern formation to a supra-threshold network activation and a non-resonating network/neuron model to demonstrate that the resonance mechanism is the most effective. Finally we show that this process might be the basis of the phase precession phenomenon observed during firing of hippocampal place cells, and that it may underlie the active switching of neuronal networks to locking at various frequencies.http://europepmc.org/articles/PMC3079761?pdf=render |
| spellingShingle | Troy Lau Michal Zochowski The resonance frequency shift, pattern formation, and dynamical network reorganization via sub-threshold input. PLoS ONE |
| title | The resonance frequency shift, pattern formation, and dynamical network reorganization via sub-threshold input. |
| title_full | The resonance frequency shift, pattern formation, and dynamical network reorganization via sub-threshold input. |
| title_fullStr | The resonance frequency shift, pattern formation, and dynamical network reorganization via sub-threshold input. |
| title_full_unstemmed | The resonance frequency shift, pattern formation, and dynamical network reorganization via sub-threshold input. |
| title_short | The resonance frequency shift, pattern formation, and dynamical network reorganization via sub-threshold input. |
| title_sort | resonance frequency shift pattern formation and dynamical network reorganization via sub threshold input |
| url | http://europepmc.org/articles/PMC3079761?pdf=render |
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