Spatiotemporal response of neuronal networks to time-dependent spectral features
In this work, we analyze the behavior of a neuronal network when it is stimulated by a synaptic train current with variable frequency. Using the fact that resonat (type II) neurons have a preferred input frequency, we constructed a network formed by two groups of neurons, each one responding to a di...
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0094243X_v913_n_p178_Balenzuela http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p178_Balenzuela |
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paper:paper_0094243X_v913_n_p178_Balenzuela2023-06-08T15:09:23Z Spatiotemporal response of neuronal networks to time-dependent spectral features Balenzuela, Pablo Brain networks Episodic synchronization Neurons Resonance Selective communication In this work, we analyze the behavior of a neuronal network when it is stimulated by a synaptic train current with variable frequency. Using the fact that resonat (type II) neurons have a preferred input frequency, we constructed a network formed by two groups of neurons, each one responding to a different eigenfrequency. We show than even though every neuron is locally connected with neighbors of both groups, only those properly tuned to the input frequency fire synchronically with the incoming signal. In this sense, given a fixed sized network of heterogeneous neurons different subsets respond to the stimulus depending on its frequency. © 2007 American Institute of Physics. Fil:Balenzuela, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2007 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0094243X_v913_n_p178_Balenzuela http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p178_Balenzuela |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Brain networks Episodic synchronization Neurons Resonance Selective communication |
spellingShingle |
Brain networks Episodic synchronization Neurons Resonance Selective communication Balenzuela, Pablo Spatiotemporal response of neuronal networks to time-dependent spectral features |
topic_facet |
Brain networks Episodic synchronization Neurons Resonance Selective communication |
description |
In this work, we analyze the behavior of a neuronal network when it is stimulated by a synaptic train current with variable frequency. Using the fact that resonat (type II) neurons have a preferred input frequency, we constructed a network formed by two groups of neurons, each one responding to a different eigenfrequency. We show than even though every neuron is locally connected with neighbors of both groups, only those properly tuned to the input frequency fire synchronically with the incoming signal. In this sense, given a fixed sized network of heterogeneous neurons different subsets respond to the stimulus depending on its frequency. © 2007 American Institute of Physics. |
author |
Balenzuela, Pablo |
author_facet |
Balenzuela, Pablo |
author_sort |
Balenzuela, Pablo |
title |
Spatiotemporal response of neuronal networks to time-dependent spectral features |
title_short |
Spatiotemporal response of neuronal networks to time-dependent spectral features |
title_full |
Spatiotemporal response of neuronal networks to time-dependent spectral features |
title_fullStr |
Spatiotemporal response of neuronal networks to time-dependent spectral features |
title_full_unstemmed |
Spatiotemporal response of neuronal networks to time-dependent spectral features |
title_sort |
spatiotemporal response of neuronal networks to time-dependent spectral features |
publishDate |
2007 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0094243X_v913_n_p178_Balenzuela http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p178_Balenzuela |
work_keys_str_mv |
AT balenzuelapablo spatiotemporalresponseofneuronalnetworkstotimedependentspectralfeatures |
_version_ |
1768541556838498304 |